Have you ever wanted to know how Amazon EC2 works? Would you like to help us build the next generation of web-scale infrastructure services that power companies of all sizes, ranging from start-ups to large enterprises, across Silicon Valley and the world? Would you like to be part of team which is architecting a brand new service from scratch? AWS Elastic Compute Cloud (EC2) Palo Alto team is looking for experienced engineers to help us define and build the future of hybrid cloud infrastructure. As the lead member of the engineering team, you will influence our product strategy for VMware on AWS by helping define the product features, refine system architecture, and spearhead best practices that enable a quality product. And you will be successfully setting the foundation for the next phase of the product and beyond. We are building everything from low-level tools to web services to drive cloud adoption for customers. We are a fast growing highly motivated team of software developers who thrive on solving challenging problems and building large-scale distributed software systems. You will be surrounded by people that are smart, passionate about new technology trends in cloud services and believe that state-of-the-art product is critical to customer success. Join us if you like working hard, having fun and making history. We do just that. The ideal candidate has a deep technical knowledge and hands-on experience with VMware technologies such as ESXi, NSX, and vSAN, a strong understanding of software architecture and cloud computing. You are excited to do whatever it takes to make this new product successful and seeking an opportunity to grow as a technical leader. Have more questions? Talk to us! We'll be happy to setup an info call and chat to give more context and details about the job.

At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, HPC, Batch/Real-time Data processing, MPP systems, Data Analytics and Business Intelligence. This role will specifically focus on large scale data warehousing and database migration capabilities. The role is to help our customers and partners to eliminate technical and economic constraints from their legacy systems and help them to leverage their data to develop business insights. AWS Professional Services engage in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base and are obsessed about customer success. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Redshift, Database Migration Service, Glue, EMR, Elastic Compute Cloud (EC2), S3, Relational Database Service (RDS)/aurora, and Amazon Kinesis. - Solution - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, generating consulting proposals, contributing to internal Area of Depth (AoD) programs, authoring AWS Data Analytics best practice blogs/whitepaper and creating packaged data service offerings. - Delivery - Engagements include short on-site projects to assess and optimize customer’s Amazon Redshift implementations and helping customers to migrate from their existing on-premises data warehouses using other databases to Amazon Redshift.

At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, HPC, Batch/Real-time Data processing, MPP systems, Data Analytics and Business Intelligence. This role will specifically focus on large scale data warehousing and database migration capabilities. The role is to help our customers and partners to eliminate technical and economic constraints from their legacy systems and help them to leverage their data to develop business insights. AWS Professional Services engage in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base and are obsessed about customer success. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Redshift, Database Migration Service, Glue, EMR, Elastic Compute Cloud (EC2), S3, Relational Database Service (RDS)/aurora, and Amazon Kinesis. - Solution - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, generating consulting proposals, contributing to internal Area of Depth (AoD) programs, authoring AWS Data Analytics best practice blogs/whitepaper and creating packaged data service offerings. - Delivery - Engagements include short on-site projects to assess and optimize customer’s Amazon Redshift implementations and helping customers to migrate from their existing on-premises data warehouses using other databases to Amazon Redshift.

At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, HPC, Batch/Real-time Data processing, MPP systems, Data Analytics and Business Intelligence. This role will specifically focus on large scale data warehousing and database migration capabilities. The role is to help our customers and partners to eliminate technical and economic constraints from their legacy systems and help them to leverage their data to develop business insights. AWS Professional Services engage in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base and are obsessed about customer success. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Redshift, Database Migration Service, Glue, EMR, Elastic Compute Cloud (EC2), S3, Relational Database Service (RDS)/aurora, and Amazon Kinesis. - Solution - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, generating consulting proposals, contributing to internal Area of Depth (AoD) programs, authoring AWS Data Analytics best practice blogs/whitepaper and creating packaged data service offerings. - Delivery - Engagements include short on-site projects to assess and optimize customer’s Amazon Redshift implementations and helping customers to migrate from their existing on-premises data warehouses using other databases to Amazon Redshift.

At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, HPC, Batch/Real-time Data processing, MPP systems, Data Analytics and Business Intelligence. This role will specifically focus on large scale data warehousing and database migration capabilities. The role is to help our customers and partners to eliminate technical and economic constraints from their legacy systems and help them to leverage their data to develop business insights. AWS Professional Services engage in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base and are obsessed about customer success. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Redshift, Database Migration Service, Glue, EMR, Elastic Compute Cloud (EC2), S3, Relational Database Service (RDS)/aurora, and Amazon Kinesis. - Solution - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, generating consulting proposals, contributing to internal Area of Depth (AoD) programs, authoring AWS Data Analytics best practice blogs/whitepaper and creating packaged data service offerings. - Delivery - Engagements include short on-site projects to assess and optimize customer’s Amazon Redshift implementations and helping customers to migrate from their existing on-premises data warehouses using other databases to Amazon Redshift.

At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, HPC, Batch/Real-time Data processing, MPP systems, Data Analytics and Business Intelligence. This role will specifically focus on large scale data warehousing and database migration capabilities. The role is to help our customers and partners to eliminate technical and economic constraints from their legacy systems and help them to leverage their data to develop business insights. AWS Professional Services engage in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base and are obsessed about customer success. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Redshift, Database Migration Service, Glue, EMR, Elastic Compute Cloud (EC2), S3, Relational Database Service (RDS)/aurora, and Amazon Kinesis. - Solution - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, generating consulting proposals, contributing to internal Area of Depth (AoD) programs, authoring AWS Data Analytics best practice blogs/whitepaper and creating packaged data service offerings. - Delivery - Engagements include short on-site projects to assess and optimize customer’s Amazon Redshift implementations and helping customers to migrate from their existing on-premises data warehouses using other databases to Amazon Redshift.

At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, HPC, Batch/Real-time Data processing, MPP systems, Data Analytics and Business Intelligence. This role will specifically focus on large scale data warehousing and database migration capabilities. The role is to help our customers and partners to eliminate technical and economic constraints from their legacy systems and help them to leverage their data to develop business insights. AWS Professional Services engage in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base and are obsessed about customer success. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Redshift, Database Migration Service, Glue, EMR, Elastic Compute Cloud (EC2), S3, Relational Database Service (RDS)/aurora, and Amazon Kinesis. - Solution - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, generating consulting proposals, contributing to internal Area of Depth (AoD) programs, authoring AWS Data Analytics best practice blogs/whitepaper and creating packaged data service offerings. - Delivery - Engagements include short on-site projects to assess and optimize customer’s Amazon Redshift implementations and helping customers to migrate from their existing on-premises data warehouses using other databases to Amazon Redshift.

At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, HPC, Batch/Real-time Data processing, MPP systems, Data Analytics and Business Intelligence. This role will specifically focus on large scale data warehousing and database migration capabilities. The role is to help our customers and partners to eliminate technical and economic constraints from their legacy systems and help them to leverage their data to develop business insights. AWS Professional Services engage in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base and are obsessed about customer success. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Redshift, Database Migration Service, Glue, EMR, Elastic Compute Cloud (EC2), S3, Relational Database Service (RDS)/aurora, and Amazon Kinesis. - Solution - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, generating consulting proposals, contributing to internal Area of Depth (AoD) programs, authoring AWS Data Analytics best practice blogs/whitepaper and creating packaged data service offerings. - Delivery - Engagements include short on-site projects to assess and optimize customer’s Amazon Redshift implementations and helping customers to migrate from their existing on-premises data warehouses using other databases to Amazon Redshift.

At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, HPC, Batch/Real-time Data processing, MPP systems, Data Analytics and Business Intelligence. This role will specifically focus on large scale data warehousing and database migration capabilities. The role is to help our customers and partners to eliminate technical and economic constraints from their legacy systems and help them to leverage their data to develop business insights. AWS Professional Services engage in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base and are obsessed about customer success. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Redshift, Database Migration Service, Glue, EMR, Elastic Compute Cloud (EC2), S3, Relational Database Service (RDS)/aurora, and Amazon Kinesis. - Solution - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, generating consulting proposals, contributing to internal Area of Depth (AoD) programs, authoring AWS Data Analytics best practice blogs/whitepaper and creating packaged data service offerings. - Delivery - Engagements include short on-site projects to assess and optimize customer’s Amazon Redshift implementations and helping customers to migrate from their existing on-premises data warehouses using other databases to Amazon Redshift.

At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, HPC, Batch/Real-time Data processing, MPP systems, Data Analytics and Business Intelligence. This role will specifically focus on large scale data warehousing and database migration capabilities. The role is to help our customers and partners to eliminate technical and economic constraints from their legacy systems and help them to leverage their data to develop business insights. AWS Professional Services engage in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base and are obsessed about customer success. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Redshift, Database Migration Service, Glue, EMR, Elastic Compute Cloud (EC2), S3, Relational Database Service (RDS)/aurora, and Amazon Kinesis. - Solution - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, generating consulting proposals, contributing to internal Area of Depth (AoD) programs, authoring AWS Data Analytics best practice blogs/whitepaper and creating packaged data service offerings. - Delivery - Engagements include short on-site projects to assess and optimize customer’s Amazon Redshift implementations and helping customers to migrate from their existing on-premises data warehouses using other databases to Amazon Redshift.

At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, HPC, Batch/Real-time Data processing, MPP systems, Data Analytics and Business Intelligence. This role will specifically focus on large scale data warehousing and database migration capabilities. The role is to help our customers and partners to eliminate technical and economic constraints from their legacy systems and help them to leverage their data to develop business insights. AWS Professional Services engage in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base and are obsessed about customer success. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Redshift, Database Migration Service, Glue, EMR, Elastic Compute Cloud (EC2), S3, Relational Database Service (RDS)/aurora, and Amazon Kinesis. - Solution - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, generating consulting proposals, contributing to internal Area of Depth (AoD) programs, authoring AWS Data Analytics best practice blogs/whitepaper and creating packaged data service offerings. - Delivery - Engagements include short on-site projects to assess and optimize customer’s Amazon Redshift implementations and helping customers to migrate from their existing on-premises data warehouses using other databases to Amazon Redshift.

At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, HPC, Batch/Real-time Data processing, MPP systems, Data Analytics and Business Intelligence. This role will specifically focus on large scale data warehousing and database migration capabilities. The role is to help our customers and partners to eliminate technical and economic constraints from their legacy systems and help them to leverage their data to develop business insights. AWS Professional Services engage in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base and are obsessed about customer success. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Redshift, Database Migration Service, Glue, EMR, Elastic Compute Cloud (EC2), S3, Relational Database Service (RDS)/aurora, and Amazon Kinesis. - Solution - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, generating consulting proposals, contributing to internal Area of Depth (AoD) programs, authoring AWS Data Analytics best practice blogs/whitepaper and creating packaged data service offerings. - Delivery - Engagements include short on-site projects to assess and optimize customer’s Amazon Redshift implementations and helping customers to migrate from their existing on-premises data warehouses using other databases to Amazon Redshift.

At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, HPC, Batch/Real-time Data processing, MPP systems, Data Analytics and Business Intelligence. This role will specifically focus on large scale data warehousing and database migration capabilities. The role is to help our customers and partners to eliminate technical and economic constraints from their legacy systems and help them to leverage their data to develop business insights. AWS Professional Services engage in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base and are obsessed about customer success. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Redshift, Database Migration Service, Glue, EMR, Elastic Compute Cloud (EC2), S3, Relational Database Service (RDS)/aurora, and Amazon Kinesis. - Solution - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, generating consulting proposals, contributing to internal Area of Depth (AoD) programs, authoring AWS Data Analytics best practice blogs/whitepaper and creating packaged data service offerings. - Delivery - Engagements include short on-site projects to assess and optimize customer’s Amazon Redshift implementations and helping customers to migrate from their existing on-premises data warehouses using other databases to Amazon Redshift.

At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, HPC, Batch/Real-time Data processing, MPP systems, Data Analytics and Business Intelligence. This role will specifically focus on large scale data warehousing and database migration capabilities. The role is to help our customers and partners to eliminate technical and economic constraints from their legacy systems and help them to leverage their data to develop business insights. AWS Professional Services engage in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base and are obsessed about customer success. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Redshift, Database Migration Service, Glue, EMR, Elastic Compute Cloud (EC2), S3, Relational Database Service (RDS)/aurora, and Amazon Kinesis. - Solution - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, generating consulting proposals, contributing to internal Area of Depth (AoD) programs, authoring AWS Data Analytics best practice blogs/whitepaper and creating packaged data service offerings. - Delivery - Engagements include short on-site projects to assess and optimize customer’s Amazon Redshift implementations and helping customers to migrate from their existing on-premises data warehouses using other databases to Amazon Redshift.

At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, HPC, Batch/Real-time Data processing, MPP systems, Data Analytics and Business Intelligence. This role will specifically focus on large scale data warehousing and database migration capabilities. The role is to help our customers and partners to eliminate technical and economic constraints from their legacy systems and help them to leverage their data to develop business insights. AWS Professional Services engage in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base and are obsessed about customer success. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Redshift, Database Migration Service, Glue, EMR, Elastic Compute Cloud (EC2), S3, Relational Database Service (RDS)/aurora, and Amazon Kinesis. - Solution - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, generating consulting proposals, contributing to internal Area of Depth (AoD) programs, authoring AWS Data Analytics best practice blogs/whitepaper and creating packaged data service offerings. - Delivery - Engagements include short on-site projects to assess and optimize customer’s Amazon Redshift implementations and helping customers to migrate from their existing on-premises data warehouses using other databases to Amazon Redshift.

At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, HPC, Batch/Real-time Data processing, MPP systems, Data Analytics and Business Intelligence. This role will specifically focus on large scale data warehousing and database migration capabilities. The role is to help our customers and partners to eliminate technical and economic constraints from their legacy systems and help them to leverage their data to develop business insights. AWS Professional Services engage in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base and are obsessed about customer success. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Redshift, Database Migration Service, Glue, EMR, Elastic Compute Cloud (EC2), S3, Relational Database Service (RDS)/aurora, and Amazon Kinesis. - Solution - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, generating consulting proposals, contributing to internal Area of Depth (AoD) programs, authoring AWS Data Analytics best practice blogs/whitepaper and creating packaged data service offerings. - Delivery - Engagements include short on-site projects to assess and optimize customer’s Amazon Redshift implementations and helping customers to migrate from their existing on-premises data warehouses using other databases to Amazon Redshift.

At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, HPC, Batch/Real-time Data processing, MPP systems, Data Analytics and Business Intelligence. This role will specifically focus on large scale data warehousing and database migration capabilities. The role is to help our customers and partners to eliminate technical and economic constraints from their legacy systems and help them to leverage their data to develop business insights. AWS Professional Services engage in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base and are obsessed about customer success. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Redshift, Database Migration Service, Glue, EMR, Elastic Compute Cloud (EC2), S3, Relational Database Service (RDS)/aurora, and Amazon Kinesis. - Solution - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, generating consulting proposals, contributing to internal Area of Depth (AoD) programs, authoring AWS Data Analytics best practice blogs/whitepaper and creating packaged data service offerings. - Delivery - Engagements include short on-site projects to assess and optimize customer’s Amazon Redshift implementations and helping customers to migrate from their existing on-premises data warehouses using other databases to Amazon Redshift.

At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, HPC, Batch/Real-time Data processing, MPP systems, Data Analytics and Business Intelligence. This role will specifically focus on large scale data warehousing and database migration capabilities. The role is to help our customers and partners to eliminate technical and economic constraints from their legacy systems and help them to leverage their data to develop business insights. AWS Professional Services engage in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base and are obsessed about customer success. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Redshift, Database Migration Service, Glue, EMR, Elastic Compute Cloud (EC2), S3, Relational Database Service (RDS)/aurora, and Amazon Kinesis. - Solution - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, generating consulting proposals, contributing to internal Area of Depth (AoD) programs, authoring AWS Data Analytics best practice blogs/whitepaper and creating packaged data service offerings. - Delivery - Engagements include short on-site projects to assess and optimize customer’s Amazon Redshift implementations and helping customers to migrate from their existing on-premises data warehouses using other databases to Amazon Redshift.

At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, HPC, Batch/Real-time Data processing, MPP systems, Data Analytics and Business Intelligence. This role will specifically focus on large scale data warehousing and database migration capabilities. The role is to help our customers and partners to eliminate technical and economic constraints from their legacy systems and help them to leverage their data to develop business insights. AWS Professional Services engage in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base and are obsessed about customer success. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Redshift, Database Migration Service, Glue, EMR, Elastic Compute Cloud (EC2), S3, Relational Database Service (RDS)/aurora, and Amazon Kinesis. - Solution - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, generating consulting proposals, contributing to internal Area of Depth (AoD) programs, authoring AWS Data Analytics best practice blogs/whitepaper and creating packaged data service offerings. - Delivery - Engagements include short on-site projects to assess and optimize customer’s Amazon Redshift implementations and helping customers to migrate from their existing on-premises data warehouses using other databases to Amazon Redshift.

At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, HPC, Batch/Real-time Data processing, MPP systems, Data Analytics and Business Intelligence. This role will specifically focus on large scale data warehousing and database migration capabilities. The role is to help our customers and partners to eliminate technical and economic constraints from their legacy systems and help them to leverage their data to develop business insights. AWS Professional Services engage in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base and are obsessed about customer success. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Redshift, Database Migration Service, Glue, EMR, Elastic Compute Cloud (EC2), S3, Relational Database Service (RDS)/aurora, and Amazon Kinesis. - Solution - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, generating consulting proposals, contributing to internal Area of Depth (AoD) programs, authoring AWS Data Analytics best practice blogs/whitepaper and creating packaged data service offerings. - Delivery - Engagements include short on-site projects to assess and optimize customer’s Amazon Redshift implementations and helping customers to migrate from their existing on-premises data warehouses using other databases to Amazon Redshift.

At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, HPC, Batch/Real-time Data processing, MPP systems, Data Analytics and Business Intelligence. This role will specifically focus on large scale data warehousing and database migration capabilities. The role is to help our customers and partners to eliminate technical and economic constraints from their legacy systems and help them to leverage their data to develop business insights. AWS Professional Services engage in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base and are obsessed about customer success. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Redshift, Database Migration Service, Glue, EMR, Elastic Compute Cloud (EC2), S3, Relational Database Service (RDS)/aurora, and Amazon Kinesis. - Solution - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, generating consulting proposals, contributing to internal Area of Depth (AoD) programs, authoring AWS Data Analytics best practice blogs/whitepaper and creating packaged data service offerings. - Delivery - Engagements include short on-site projects to assess and optimize customer’s Amazon Redshift implementations and helping customers to migrate from their existing on-premises data warehouses using other databases to Amazon Redshift.

At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, HPC, Batch/Real-time Data processing, MPP systems, Data Analytics and Business Intelligence. This role will specifically focus on large scale data warehousing and database migration capabilities. The role is to help our customers and partners to eliminate technical and economic constraints from their legacy systems and help them to leverage their data to develop business insights. AWS Professional Services engage in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base and are obsessed about customer success. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Redshift, Database Migration Service, Glue, EMR, Elastic Compute Cloud (EC2), S3, Relational Database Service (RDS)/aurora, and Amazon Kinesis. - Solution - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, generating consulting proposals, contributing to internal Area of Depth (AoD) programs, authoring AWS Data Analytics best practice blogs/whitepaper and creating packaged data service offerings. - Delivery - Engagements include short on-site projects to assess and optimize customer’s Amazon Redshift implementations and helping customers to migrate from their existing on-premises data warehouses using other databases to Amazon Redshift.

At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, HPC, Batch/Real-time Data processing, MPP systems, Data Analytics and Business Intelligence. This role will specifically focus on large scale data warehousing and database migration capabilities. The role is to help our customers and partners to eliminate technical and economic constraints from their legacy systems and help them to leverage their data to develop business insights. AWS Professional Services engage in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base and are obsessed about customer success. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Redshift, Database Migration Service, Glue, EMR, Elastic Compute Cloud (EC2), S3, Relational Database Service (RDS)/aurora, and Amazon Kinesis. - Solution - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, generating consulting proposals, contributing to internal Area of Depth (AoD) programs, authoring AWS Data Analytics best practice blogs/whitepaper and creating packaged data service offerings. - Delivery - Engagements include short on-site projects to assess and optimize customer’s Amazon Redshift implementations and helping customers to migrate from their existing on-premises data warehouses using other databases to Amazon Redshift.

This position within Database Services team represents a unique and rare opportunity to get in on the ground floor of a newly formed team. Amazon's NoSQL services such as DynamoDB, DocumentDB, Timestream, ElastiCache, ElasticSearch, and Neptune are massive at-scale services that are powering some of the top companies in the world. At Amazon, we build some of the largest distributed systems in the world and we’re looking for top talent to help not only deliver the next top tier service but also to help grow the business at the same time. Responsibilities as a Senior Product Manager will include use case prioritization, feature definition, ownership of the product roadmap, and customer segmentation.Successful employees in this role have prior product management experience. They are very delivery-focused, with a track record of shipping innovative, customer-centric, and successful products. This position has a high level of visibility, and you will need to be a strong leader, able to communicate clearly and compellingly at all levels of the company. Most important is your attitude and work ethic: as a start-up, we will wear many hats, work fast and smart, and adapt and iterate quickly. We are looking for someone who is ready to roll-up their sleeves and get going quickly. Knowledge of databases and analytics industry is a strong plus.

Amazon Web Services (AWS) Hardware Engineering team creates compute and storage server designs for Amazon’s innovative web services. Our designs are industry-leading in performance, frugality and operational excellence, and are critical to the success of the AWS business and the more than one million customers who use AWS today. Our Hardware Engineers solve challenging technology problems, and build architecturally sound, high-quality server platforms and components to enable AWS to realize critical business strategies. We are seeking experienced Hardware Design Engineers to build the next generation of our cloud platforms. Our success depends on our world-class server infrastructure; we’re handling massive scale and rapid integration of emergent technologies. What you will do: As Signal Integrity/Power Integrity Engineer in the AWS hardware development team you will be working with a team of hardware development engineers to design AWS-specific hardware solutions that include motherboard and board sets, add-in cards, hardware subsystems, and full systems. You will be responsible for high speed platform interconnect design supporting x86 processors, PCIe topologies, board (PCB) material selection/stack-up analysis and signal integrity lab equipment. You will draw from existing guidelines and standards, but also drive innovation in key technology areas. In this role you will operate with considerable autonomy and discretion. You will be a technical leader, have high standards for yourself and everyone you work with, and you’ll be constantly looking for ways to improve your products performance, quality, and cost. We’re changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today. Why it matters: Public cloud IT services represent the majority of growth in the overall IT services market and will continue to do so for several years to come. The scale of AWS, combined with an understanding of how our hardware is used, creates a unique opportunity for hardware customizations that will directly benefit AWS customers. Why you will love it: You will work directly with engineers across the company to build next-generation hardware. You will have a direct impact on delivering solutions to our AWS customers and will be part of a growing, fast paced, fun and technically challenging team. Our Engineers are shaping the future of cloud computing technology - come help us make history!

Amazon Cloud Directory is looking for brilliant engineers to build next generation functionality and work on cutting-edge of distributed systems problems. Cloud Directory is a fully managed, multi-tenant hierarchical data store that provides automatic scaling to hundreds of millions of objects while supporting single-digit millisecond latency at scale. Cloud Directory is a fundamental building block powering other AWS services like Amazon Cognito and AWS Organizations. You will be working with a team of highly talented and motivated engineers solving some of the hardest problems in distributed storage like cross-region replication, graph queries at scale among other things. If you want to push the limits and produce innovative solutions to make customers life easier, come join our team. Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation **For more information on Amazon Web Services please go to http://aws.amazon.com/ **

Amazon Prime Video is disrupting the traditional television and movie industry with a massive library of high-quality media and reliable digital delivery. Our services are engineered for high availability, maximum reach, and cost savings we can pass on to customers. We enable the world to watch video instantly, from any device, whether on the road or from the comfort of a living room. Today, we operate in 242 countries and territories and support multiple languages and currencies, but we still aspire to grow -- a lot. We are looking for a talented Principal Technical Program Manager who is ready to work in a rapidly changing industry. This is a strategic role to shape and deliver our technical strategy in developing and deploying new currency and payment solutions for our global customers. You will take on leading the development of new ways for our customers to pay for our service, ensuring they always have the ability to pay no matter what country they come from. This role is inherently cross-functional - you will work closely with many engineering teams and product managers both inside and outside of Prime Video. A successful candidate will be highly analytical, able to work extremely effectively in a matrix organization, and adept at synthesizing a variety of inputs to deliver high quality products and solutions. You will own regular communication with senior leadership on technology, dependency management, risk mitigation and program health. The ideal candidate should have thrived and succeeded in delivering broadly adopted technology products or services in a very high growth environment. You should be a strong leader who can prioritize well, communicate clearly and compellingly, and understand how to drive a high level of focus and excellence. You should have keen business sense and also have developed a deep understanding of technology. Qualified candidates have experience defining programs, mapping product requirements to engineering functional specifications, leading large cross functional and cross organizational programs, and successfully delivering complex programs at high scale.

At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, HPC, Batch/Real-time Data processing, MPP systems, Data Analytics and Business Intelligence. This role will specifically focus on large scale data warehousing and database migration capabilities. The role is to help our customers and partners to eliminate technical and economic constraints from their legacy systems and help them to leverage their data to develop business insights. AWS Professional Services engage in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base and are obsessed about customer success. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Redshift, Database Migration Service, Glue, EMR, Elastic Compute Cloud (EC2), S3, Relational Database Service (RDS)/aurora, and Amazon Kinesis. - Solution - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, generating consulting proposals, contributing to internal Area of Depth (AoD) programs, authoring AWS Data Analytics best practice blogs/whitepaper and creating packaged data service offerings. - Delivery - Engagements include short on-site projects to assess and optimize customer’s Amazon Redshift implementations and helping customers to migrate from their existing on-premises data warehouses using other databases to Amazon Redshift.

At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, HPC, Batch/Real-time Data processing, MPP systems, Data Analytics and Business Intelligence. This role will specifically focus on large scale data warehousing and database migration capabilities. The role is to help our customers and partners to eliminate technical and economic constraints from their legacy systems and help them to leverage their data to develop business insights. AWS Professional Services engage in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base and are obsessed about customer success. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Redshift, Database Migration Service, Glue, EMR, Elastic Compute Cloud (EC2), S3, Relational Database Service (RDS)/aurora, and Amazon Kinesis. - Solution - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, generating consulting proposals, contributing to internal Area of Depth (AoD) programs, authoring AWS Data Analytics best practice blogs/whitepaper and creating packaged data service offerings. - Delivery - Engagements include short on-site projects to assess and optimize customer’s Amazon Redshift implementations and helping customers to migrate from their existing on-premises data warehouses using other databases to Amazon Redshift.

At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, HPC, Batch/Real-time Data processing, MPP systems, Data Analytics and Business Intelligence. This role will specifically focus on large scale data warehousing and database migration capabilities. The role is to help our customers and partners to eliminate technical and economic constraints from their legacy systems and help them to leverage their data to develop business insights. AWS Professional Services engage in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base and are obsessed about customer success. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Redshift, Database Migration Service, Glue, EMR, Elastic Compute Cloud (EC2), S3, Relational Database Service (RDS)/aurora, and Amazon Kinesis. - Solution - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, generating consulting proposals, contributing to internal Area of Depth (AoD) programs, authoring AWS Data Analytics best practice blogs/whitepaper and creating packaged data service offerings. - Delivery - Engagements include short on-site projects to assess and optimize customer’s Amazon Redshift implementations and helping customers to migrate from their existing on-premises data warehouses using other databases to Amazon Redshift.

At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, HPC, Batch/Real-time Data processing, MPP systems, Data Analytics and Business Intelligence. This role will specifically focus on large scale data warehousing and database migration capabilities. The role is to help our customers and partners to eliminate technical and economic constraints from their legacy systems and help them to leverage their data to develop business insights. AWS Professional Services engage in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base and are obsessed about customer success. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Redshift, Database Migration Service, Glue, EMR, Elastic Compute Cloud (EC2), S3, Relational Database Service (RDS)/aurora, and Amazon Kinesis. - Solution - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, generating consulting proposals, contributing to internal Area of Depth (AoD) programs, authoring AWS Data Analytics best practice blogs/whitepaper and creating packaged data service offerings. - Delivery - Engagements include short on-site projects to assess and optimize customer’s Amazon Redshift implementations and helping customers to migrate from their existing on-premises data warehouses using other databases to Amazon Redshift.

At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, HPC, Batch/Real-time Data processing, MPP systems, Data Analytics and Business Intelligence. This role will specifically focus on large scale data warehousing and database migration capabilities. The role is to help our customers and partners to eliminate technical and economic constraints from their legacy systems and help them to leverage their data to develop business insights. AWS Professional Services engage in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base and are obsessed about customer success. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Redshift, Database Migration Service, Glue, EMR, Elastic Compute Cloud (EC2), S3, Relational Database Service (RDS)/aurora, and Amazon Kinesis. - Solution - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, generating consulting proposals, contributing to internal Area of Depth (AoD) programs, authoring AWS Data Analytics best practice blogs/whitepaper and creating packaged data service offerings. - Delivery - Engagements include short on-site projects to assess and optimize customer’s Amazon Redshift implementations and helping customers to migrate from their existing on-premises data warehouses using other databases to Amazon Redshift.

At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, HPC, Batch/Real-time Data processing, MPP systems, Data Analytics and Business Intelligence. This role will specifically focus on large scale data warehousing and database migration capabilities. The role is to help our customers and partners to eliminate technical and economic constraints from their legacy systems and help them to leverage their data to develop business insights. AWS Professional Services engage in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base and are obsessed about customer success. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Redshift, Database Migration Service, Glue, EMR, Elastic Compute Cloud (EC2), S3, Relational Database Service (RDS)/aurora, and Amazon Kinesis. - Solution - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, generating consulting proposals, contributing to internal Area of Depth (AoD) programs, authoring AWS Data Analytics best practice blogs/whitepaper and creating packaged data service offerings. - Delivery - Engagements include short on-site projects to assess and optimize customer’s Amazon Redshift implementations and helping customers to migrate from their existing on-premises data warehouses using other databases to Amazon Redshift.

At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, HPC, Batch/Real-time Data processing, MPP systems, Data Analytics and Business Intelligence. This role will specifically focus on large scale data warehousing and database migration capabilities. The role is to help our customers and partners to eliminate technical and economic constraints from their legacy systems and help them to leverage their data to develop business insights. AWS Professional Services engage in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base and are obsessed about customer success. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Redshift, Database Migration Service, Glue, EMR, Elastic Compute Cloud (EC2), S3, Relational Database Service (RDS)/aurora, and Amazon Kinesis. - Solution - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, generating consulting proposals, contributing to internal Area of Depth (AoD) programs, authoring AWS Data Analytics best practice blogs/whitepaper and creating packaged data service offerings. - Delivery - Engagements include short on-site projects to assess and optimize customer’s Amazon Redshift implementations and helping customers to migrate from their existing on-premises data warehouses using other databases to Amazon Redshift.

At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, HPC, Batch/Real-time Data processing, MPP systems, Data Analytics and Business Intelligence. This role will specifically focus on large scale data warehousing and database migration capabilities. The role is to help our customers and partners to eliminate technical and economic constraints from their legacy systems and help them to leverage their data to develop business insights. AWS Professional Services engage in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base and are obsessed about customer success. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Redshift, Database Migration Service, Glue, EMR, Elastic Compute Cloud (EC2), S3, Relational Database Service (RDS)/aurora, and Amazon Kinesis. - Solution - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, generating consulting proposals, contributing to internal Area of Depth (AoD) programs, authoring AWS Data Analytics best practice blogs/whitepaper and creating packaged data service offerings. - Delivery - Engagements include short on-site projects to assess and optimize customer’s Amazon Redshift implementations and helping customers to migrate from their existing on-premises data warehouses using other databases to Amazon Redshift.

Are you a Data Analytics specialist? Do you have Data Warehousing and/or Hadoop/Data Lake experience? Do you like to solve the most complex and high scale (billions + records) data challenges in the world today? Would you like a career that gives you opportunities to help customers and partners use cloud computing to do big new things faster and at lower cost? Do you want to be part of history and transform businesses through cloud computing adoption? Do you like to work on-site in a variety of business environments, leading teams through high impact projects that use the newest data analytic technologies? Would you like a career path that enables you to progress with the rapid adoption of cloud computing? At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements involve emerging technologies like AI, IoT, and Data Analytics. This role will specifically focus on Data and Analytics capabilities and helping our customers and partners to remove the constraints that prevent our customers from leveraging their data to develop business insights. At AWS, we are hiring the best Data / Analytics cloud computing consultants, who can help our clients and partners derive business value from Data in the cloud. Our consultants will collaborate with partner and client teams to deliver proof-of-concept projects, conduct topical workshops, and lead implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, batch/real-time data processing, Data and Business intelligence. This role will specifically focus on Data processing capabilities and helping our customers and partners to remove the constraints that prevent our customers from leveraging their data to develop business insights. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Amazon Elastic Compute Cloud (EC2), Amazon Data Pipeline, S3, DynamoDB NoSQL, Relational Database Service (RDS), Elastic Map Reduce (EMR) and Amazon Redshift. - Solutions - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, creating consulting proposals and creating packaged Data & Analytics service offerings. - Delivery - Engagements include short on-site projects proving the use of AWS services to support new distributed computing solutions that often span private cloud and public cloud services. Engagements will include migration of existing applications and development of new applications using AWS cloud services. - Insights - Work with AWS engineering and support teams to convey partner and customer needs and feedback as input to technology roadmaps. Share real world implementation challenges and recommend new capabilities that would simplify adoption and drive greater value from use of AWS cloud services. - Push the envelope – Cloud computing is reducing the historical “IT constraint” on businesses. Imagine bold possibilities and work with our clients and partners to find innovative new ways to satisfy business needs through Data / Business Intelligence cloud computing. Amazon aims to be the most customer centric company on earth. Amazon Web Services (AWS) provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers critical applications for hundreds of thousands of businesses in 190 countries around the world.

Are you a Data Analytics specialist? Do you have Data Warehousing and/or Hadoop/Data Lake experience? Do you like to solve the most complex and high scale (billions + records) data challenges in the world today? Would you like a career that gives you opportunities to help customers and partners use cloud computing to do big new things faster and at lower cost? Do you want to be part of history and transform businesses through cloud computing adoption? Do you like to work on-site in a variety of business environments, leading teams through high impact projects that use the newest data analytic technologies? Would you like a career path that enables you to progress with the rapid adoption of cloud computing? At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements involve emerging technologies like AI, IoT, and Data Analytics. This role will specifically focus on Data and Analytics capabilities and helping our customers and partners to remove the constraints that prevent our customers from leveraging their data to develop business insights. At AWS, we are hiring the best Data / Analytics cloud computing consultants, who can help our clients and partners derive business value from Data in the cloud. Our consultants will collaborate with partner and client teams to deliver proof-of-concept projects, conduct topical workshops, and lead implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, batch/real-time data processing, Data and Business intelligence. This role will specifically focus on Data processing capabilities and helping our customers and partners to remove the constraints that prevent our customers from leveraging their data to develop business insights. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Amazon Elastic Compute Cloud (EC2), Amazon Data Pipeline, S3, DynamoDB NoSQL, Relational Database Service (RDS), Elastic Map Reduce (EMR) and Amazon Redshift. - Solutions - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, creating consulting proposals and creating packaged Data & Analytics service offerings. - Delivery - Engagements include short on-site projects proving the use of AWS services to support new distributed computing solutions that often span private cloud and public cloud services. Engagements will include migration of existing applications and development of new applications using AWS cloud services. - Insights - Work with AWS engineering and support teams to convey partner and customer needs and feedback as input to technology roadmaps. Share real world implementation challenges and recommend new capabilities that would simplify adoption and drive greater value from use of AWS cloud services. - Push the envelope – Cloud computing is reducing the historical “IT constraint” on businesses. Imagine bold possibilities and work with our clients and partners to find innovative new ways to satisfy business needs through Data / Business Intelligence cloud computing. Amazon aims to be the most customer centric company on earth. Amazon Web Services (AWS) provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers critical applications for hundreds of thousands of businesses in 190 countries around the world.

Are you a Data Analytics specialist? Do you have Data Warehousing and/or Hadoop/Data Lake experience? Do you like to solve the most complex and high scale (billions + records) data challenges in the world today? Would you like a career that gives you opportunities to help customers and partners use cloud computing to do big new things faster and at lower cost? Do you want to be part of history and transform businesses through cloud computing adoption? Do you like to work on-site in a variety of business environments, leading teams through high impact projects that use the newest data analytic technologies? Would you like a career path that enables you to progress with the rapid adoption of cloud computing? At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements involve emerging technologies like AI, IoT, and Data Analytics. This role will specifically focus on Data and Analytics capabilities and helping our customers and partners to remove the constraints that prevent our customers from leveraging their data to develop business insights. At AWS, we are hiring the best Data / Analytics cloud computing consultants, who can help our clients and partners derive business value from Data in the cloud. Our consultants will collaborate with partner and client teams to deliver proof-of-concept projects, conduct topical workshops, and lead implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, batch/real-time data processing, Data and Business intelligence. This role will specifically focus on Data processing capabilities and helping our customers and partners to remove the constraints that prevent our customers from leveraging their data to develop business insights. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Amazon Elastic Compute Cloud (EC2), Amazon Data Pipeline, S3, DynamoDB NoSQL, Relational Database Service (RDS), Elastic Map Reduce (EMR) and Amazon Redshift. - Solutions - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, creating consulting proposals and creating packaged Data & Analytics service offerings. - Delivery - Engagements include short on-site projects proving the use of AWS services to support new distributed computing solutions that often span private cloud and public cloud services. Engagements will include migration of existing applications and development of new applications using AWS cloud services. - Insights - Work with AWS engineering and support teams to convey partner and customer needs and feedback as input to technology roadmaps. Share real world implementation challenges and recommend new capabilities that would simplify adoption and drive greater value from use of AWS cloud services. - Push the envelope – Cloud computing is reducing the historical “IT constraint” on businesses. Imagine bold possibilities and work with our clients and partners to find innovative new ways to satisfy business needs through Data / Business Intelligence cloud computing. Amazon aims to be the most customer centric company on earth. Amazon Web Services (AWS) provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers critical applications for hundreds of thousands of businesses in 190 countries around the world.

Are you a Data Analytics specialist? Do you have Data Warehousing and/or Hadoop/Data Lake experience? Do you like to solve the most complex and high scale (billions + records) data challenges in the world today? Would you like a career that gives you opportunities to help customers and partners use cloud computing to do big new things faster and at lower cost? Do you want to be part of history and transform businesses through cloud computing adoption? Do you like to work on-site in a variety of business environments, leading teams through high impact projects that use the newest data analytic technologies? Would you like a career path that enables you to progress with the rapid adoption of cloud computing? At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements involve emerging technologies like AI, IoT, and Data Analytics. This role will specifically focus on Data and Analytics capabilities and helping our customers and partners to remove the constraints that prevent our customers from leveraging their data to develop business insights. At AWS, we are hiring the best Data / Analytics cloud computing consultants, who can help our clients and partners derive business value from Data in the cloud. Our consultants will collaborate with partner and client teams to deliver proof-of-concept projects, conduct topical workshops, and lead implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, batch/real-time data processing, Data and Business intelligence. This role will specifically focus on Data processing capabilities and helping our customers and partners to remove the constraints that prevent our customers from leveraging their data to develop business insights. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Amazon Elastic Compute Cloud (EC2), Amazon Data Pipeline, S3, DynamoDB NoSQL, Relational Database Service (RDS), Elastic Map Reduce (EMR) and Amazon Redshift. - Solutions - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, creating consulting proposals and creating packaged Data & Analytics service offerings. - Delivery - Engagements include short on-site projects proving the use of AWS services to support new distributed computing solutions that often span private cloud and public cloud services. Engagements will include migration of existing applications and development of new applications using AWS cloud services. - Insights - Work with AWS engineering and support teams to convey partner and customer needs and feedback as input to technology roadmaps. Share real world implementation challenges and recommend new capabilities that would simplify adoption and drive greater value from use of AWS cloud services. - Push the envelope – Cloud computing is reducing the historical “IT constraint” on businesses. Imagine bold possibilities and work with our clients and partners to find innovative new ways to satisfy business needs through Data / Business Intelligence cloud computing. Amazon aims to be the most customer centric company on earth. Amazon Web Services (AWS) provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers critical applications for hundreds of thousands of businesses in 190 countries around the world.

Are you a Data Analytics specialist? Do you have Data Warehousing and/or Hadoop/Data Lake experience? Do you like to solve the most complex and high scale (billions + records) data challenges in the world today? Would you like a career that gives you opportunities to help customers and partners use cloud computing to do big new things faster and at lower cost? Do you want to be part of history and transform businesses through cloud computing adoption? Do you like to work on-site in a variety of business environments, leading teams through high impact projects that use the newest data analytic technologies? Would you like a career path that enables you to progress with the rapid adoption of cloud computing? At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements involve emerging technologies like AI, IoT, and Data Analytics. This role will specifically focus on Data and Analytics capabilities and helping our customers and partners to remove the constraints that prevent our customers from leveraging their data to develop business insights. At AWS, we are hiring the best Data / Analytics cloud computing consultants, who can help our clients and partners derive business value from Data in the cloud. Our consultants will collaborate with partner and client teams to deliver proof-of-concept projects, conduct topical workshops, and lead implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, batch/real-time data processing, Data and Business intelligence. This role will specifically focus on Data processing capabilities and helping our customers and partners to remove the constraints that prevent our customers from leveraging their data to develop business insights. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Amazon Elastic Compute Cloud (EC2), Amazon Data Pipeline, S3, DynamoDB NoSQL, Relational Database Service (RDS), Elastic Map Reduce (EMR) and Amazon Redshift. - Solutions - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, creating consulting proposals and creating packaged Data & Analytics service offerings. - Delivery - Engagements include short on-site projects proving the use of AWS services to support new distributed computing solutions that often span private cloud and public cloud services. Engagements will include migration of existing applications and development of new applications using AWS cloud services. - Insights - Work with AWS engineering and support teams to convey partner and customer needs and feedback as input to technology roadmaps. Share real world implementation challenges and recommend new capabilities that would simplify adoption and drive greater value from use of AWS cloud services. - Push the envelope – Cloud computing is reducing the historical “IT constraint” on businesses. Imagine bold possibilities and work with our clients and partners to find innovative new ways to satisfy business needs through Data / Business Intelligence cloud computing. Amazon aims to be the most customer centric company on earth. Amazon Web Services (AWS) provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers critical applications for hundreds of thousands of businesses in 190 countries around the world.

Are you a Data Analytics specialist? Do you have Data Warehousing and/or Hadoop/Data Lake experience? Do you like to solve the most complex and high scale (billions + records) data challenges in the world today? Would you like a career that gives you opportunities to help customers and partners use cloud computing to do big new things faster and at lower cost? Do you want to be part of history and transform businesses through cloud computing adoption? Do you like to work on-site in a variety of business environments, leading teams through high impact projects that use the newest data analytic technologies? Would you like a career path that enables you to progress with the rapid adoption of cloud computing? At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements involve emerging technologies like AI, IoT, and Data Analytics. This role will specifically focus on Data and Analytics capabilities and helping our customers and partners to remove the constraints that prevent our customers from leveraging their data to develop business insights. At AWS, we are hiring the best Data / Analytics cloud computing consultants, who can help our clients and partners derive business value from Data in the cloud. Our consultants will collaborate with partner and client teams to deliver proof-of-concept projects, conduct topical workshops, and lead implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, batch/real-time data processing, Data and Business intelligence. This role will specifically focus on Data processing capabilities and helping our customers and partners to remove the constraints that prevent our customers from leveraging their data to develop business insights. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Amazon Elastic Compute Cloud (EC2), Amazon Data Pipeline, S3, DynamoDB NoSQL, Relational Database Service (RDS), Elastic Map Reduce (EMR) and Amazon Redshift. - Solutions - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, creating consulting proposals and creating packaged Data & Analytics service offerings. - Delivery - Engagements include short on-site projects proving the use of AWS services to support new distributed computing solutions that often span private cloud and public cloud services. Engagements will include migration of existing applications and development of new applications using AWS cloud services. - Insights - Work with AWS engineering and support teams to convey partner and customer needs and feedback as input to technology roadmaps. Share real world implementation challenges and recommend new capabilities that would simplify adoption and drive greater value from use of AWS cloud services. - Push the envelope – Cloud computing is reducing the historical “IT constraint” on businesses. Imagine bold possibilities and work with our clients and partners to find innovative new ways to satisfy business needs through Data / Business Intelligence cloud computing. Amazon aims to be the most customer centric company on earth. Amazon Web Services (AWS) provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers critical applications for hundreds of thousands of businesses in 190 countries around the world.

Are you a Data Analytics specialist? Do you have Data Warehousing and/or Hadoop/Data Lake experience? Do you like to solve the most complex and high scale (billions + records) data challenges in the world today? Would you like a career that gives you opportunities to help customers and partners use cloud computing to do big new things faster and at lower cost? Do you want to be part of history and transform businesses through cloud computing adoption? Do you like to work on-site in a variety of business environments, leading teams through high impact projects that use the newest data analytic technologies? Would you like a career path that enables you to progress with the rapid adoption of cloud computing? At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements involve emerging technologies like AI, IoT, and Data Analytics. This role will specifically focus on Data and Analytics capabilities and helping our customers and partners to remove the constraints that prevent our customers from leveraging their data to develop business insights. At AWS, we are hiring the best Data / Analytics cloud computing consultants, who can help our clients and partners derive business value from Data in the cloud. Our consultants will collaborate with partner and client teams to deliver proof-of-concept projects, conduct topical workshops, and lead implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, batch/real-time data processing, Data and Business intelligence. This role will specifically focus on Data processing capabilities and helping our customers and partners to remove the constraints that prevent our customers from leveraging their data to develop business insights. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Amazon Elastic Compute Cloud (EC2), Amazon Data Pipeline, S3, DynamoDB NoSQL, Relational Database Service (RDS), Elastic Map Reduce (EMR) and Amazon Redshift. - Solutions - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, creating consulting proposals and creating packaged Data & Analytics service offerings. - Delivery - Engagements include short on-site projects proving the use of AWS services to support new distributed computing solutions that often span private cloud and public cloud services. Engagements will include migration of existing applications and development of new applications using AWS cloud services. - Insights - Work with AWS engineering and support teams to convey partner and customer needs and feedback as input to technology roadmaps. Share real world implementation challenges and recommend new capabilities that would simplify adoption and drive greater value from use of AWS cloud services. - Push the envelope – Cloud computing is reducing the historical “IT constraint” on businesses. Imagine bold possibilities and work with our clients and partners to find innovative new ways to satisfy business needs through Data / Business Intelligence cloud computing. Amazon aims to be the most customer centric company on earth. Amazon Web Services (AWS) provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers critical applications for hundreds of thousands of businesses in 190 countries around the world.

Are you a Data Analytics specialist? Do you have Data Warehousing and/or Hadoop/Data Lake experience? Do you like to solve the most complex and high scale (billions + records) data challenges in the world today? Would you like a career that gives you opportunities to help customers and partners use cloud computing to do big new things faster and at lower cost? Do you want to be part of history and transform businesses through cloud computing adoption? Do you like to work on-site in a variety of business environments, leading teams through high impact projects that use the newest data analytic technologies? Would you like a career path that enables you to progress with the rapid adoption of cloud computing? At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements involve emerging technologies like AI, IoT, and Data Analytics. This role will specifically focus on Data and Analytics capabilities and helping our customers and partners to remove the constraints that prevent our customers from leveraging their data to develop business insights. At AWS, we are hiring the best Data / Analytics cloud computing consultants, who can help our clients and partners derive business value from Data in the cloud. Our consultants will collaborate with partner and client teams to deliver proof-of-concept projects, conduct topical workshops, and lead implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, batch/real-time data processing, Data and Business intelligence. This role will specifically focus on Data processing capabilities and helping our customers and partners to remove the constraints that prevent our customers from leveraging their data to develop business insights. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Amazon Elastic Compute Cloud (EC2), Amazon Data Pipeline, S3, DynamoDB NoSQL, Relational Database Service (RDS), Elastic Map Reduce (EMR) and Amazon Redshift. - Solutions - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, creating consulting proposals and creating packaged Data & Analytics service offerings. - Delivery - Engagements include short on-site projects proving the use of AWS services to support new distributed computing solutions that often span private cloud and public cloud services. Engagements will include migration of existing applications and development of new applications using AWS cloud services. - Insights - Work with AWS engineering and support teams to convey partner and customer needs and feedback as input to technology roadmaps. Share real world implementation challenges and recommend new capabilities that would simplify adoption and drive greater value from use of AWS cloud services. - Push the envelope – Cloud computing is reducing the historical “IT constraint” on businesses. Imagine bold possibilities and work with our clients and partners to find innovative new ways to satisfy business needs through Data / Business Intelligence cloud computing. Amazon aims to be the most customer centric company on earth. Amazon Web Services (AWS) provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers critical applications for hundreds of thousands of businesses in 190 countries around the world.

Are you a Data Analytics specialist? Do you have Data Warehousing and/or Hadoop/Data Lake experience? Do you like to solve the most complex and high scale (billions + records) data challenges in the world today? Would you like a career that gives you opportunities to help customers and partners use cloud computing to do big new things faster and at lower cost? Do you want to be part of history and transform businesses through cloud computing adoption? Do you like to work on-site in a variety of business environments, leading teams through high impact projects that use the newest data analytic technologies? Would you like a career path that enables you to progress with the rapid adoption of cloud computing? At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements involve emerging technologies like AI, IoT, and Data Analytics. This role will specifically focus on Data and Analytics capabilities and helping our customers and partners to remove the constraints that prevent our customers from leveraging their data to develop business insights. At AWS, we are hiring the best Data / Analytics cloud computing consultants, who can help our clients and partners derive business value from Data in the cloud. Our consultants will collaborate with partner and client teams to deliver proof-of-concept projects, conduct topical workshops, and lead implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, batch/real-time data processing, Data and Business intelligence. This role will specifically focus on Data processing capabilities and helping our customers and partners to remove the constraints that prevent our customers from leveraging their data to develop business insights. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Amazon Elastic Compute Cloud (EC2), Amazon Data Pipeline, S3, DynamoDB NoSQL, Relational Database Service (RDS), Elastic Map Reduce (EMR) and Amazon Redshift. - Solutions - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, creating consulting proposals and creating packaged Data & Analytics service offerings. - Delivery - Engagements include short on-site projects proving the use of AWS services to support new distributed computing solutions that often span private cloud and public cloud services. Engagements will include migration of existing applications and development of new applications using AWS cloud services. - Insights - Work with AWS engineering and support teams to convey partner and customer needs and feedback as input to technology roadmaps. Share real world implementation challenges and recommend new capabilities that would simplify adoption and drive greater value from use of AWS cloud services. - Push the envelope – Cloud computing is reducing the historical “IT constraint” on businesses. Imagine bold possibilities and work with our clients and partners to find innovative new ways to satisfy business needs through Data / Business Intelligence cloud computing. Amazon aims to be the most customer centric company on earth. Amazon Web Services (AWS) provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers critical applications for hundreds of thousands of businesses in 190 countries around the world.

Are you a Data Analytics specialist? Do you have Data Warehousing and/or Hadoop/Data Lake experience? Do you like to solve the most complex and high scale (billions + records) data challenges in the world today? Would you like a career that gives you opportunities to help customers and partners use cloud computing to do big new things faster and at lower cost? Do you want to be part of history and transform businesses through cloud computing adoption? Do you like to work on-site in a variety of business environments, leading teams through high impact projects that use the newest data analytic technologies? Would you like a career path that enables you to progress with the rapid adoption of cloud computing? At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements involve emerging technologies like AI, IoT, and Data Analytics. This role will specifically focus on Data and Analytics capabilities and helping our customers and partners to remove the constraints that prevent our customers from leveraging their data to develop business insights. At AWS, we are hiring the best Data / Analytics cloud computing consultants, who can help our clients and partners derive business value from Data in the cloud. Our consultants will collaborate with partner and client teams to deliver proof-of-concept projects, conduct topical workshops, and lead implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, batch/real-time data processing, Data and Business intelligence. This role will specifically focus on Data processing capabilities and helping our customers and partners to remove the constraints that prevent our customers from leveraging their data to develop business insights. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Amazon Elastic Compute Cloud (EC2), Amazon Data Pipeline, S3, DynamoDB NoSQL, Relational Database Service (RDS), Elastic Map Reduce (EMR) and Amazon Redshift. - Solutions - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, creating consulting proposals and creating packaged Data & Analytics service offerings. - Delivery - Engagements include short on-site projects proving the use of AWS services to support new distributed computing solutions that often span private cloud and public cloud services. Engagements will include migration of existing applications and development of new applications using AWS cloud services. - Insights - Work with AWS engineering and support teams to convey partner and customer needs and feedback as input to technology roadmaps. Share real world implementation challenges and recommend new capabilities that would simplify adoption and drive greater value from use of AWS cloud services. - Push the envelope – Cloud computing is reducing the historical “IT constraint” on businesses. Imagine bold possibilities and work with our clients and partners to find innovative new ways to satisfy business needs through Data / Business Intelligence cloud computing. Amazon aims to be the most customer centric company on earth. Amazon Web Services (AWS) provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers critical applications for hundreds of thousands of businesses in 190 countries around the world.

Are you a Data Analytics specialist? Do you have Data Warehousing and/or Hadoop/Data Lake experience? Do you like to solve the most complex and high scale (billions + records) data challenges in the world today? Would you like a career that gives you opportunities to help customers and partners use cloud computing to do big new things faster and at lower cost? Do you want to be part of history and transform businesses through cloud computing adoption? Do you like to work on-site in a variety of business environments, leading teams through high impact projects that use the newest data analytic technologies? Would you like a career path that enables you to progress with the rapid adoption of cloud computing? At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements involve emerging technologies like AI, IoT, and Data Analytics. This role will specifically focus on Data and Analytics capabilities and helping our customers and partners to remove the constraints that prevent our customers from leveraging their data to develop business insights. At AWS, we are hiring the best Data / Analytics cloud computing consultants, who can help our clients and partners derive business value from Data in the cloud. Our consultants will collaborate with partner and client teams to deliver proof-of-concept projects, conduct topical workshops, and lead implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, batch/real-time data processing, Data and Business intelligence. This role will specifically focus on Data processing capabilities and helping our customers and partners to remove the constraints that prevent our customers from leveraging their data to develop business insights. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Amazon Elastic Compute Cloud (EC2), Amazon Data Pipeline, S3, DynamoDB NoSQL, Relational Database Service (RDS), Elastic Map Reduce (EMR) and Amazon Redshift. - Solutions - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, creating consulting proposals and creating packaged Data & Analytics service offerings. - Delivery - Engagements include short on-site projects proving the use of AWS services to support new distributed computing solutions that often span private cloud and public cloud services. Engagements will include migration of existing applications and development of new applications using AWS cloud services. - Insights - Work with AWS engineering and support teams to convey partner and customer needs and feedback as input to technology roadmaps. Share real world implementation challenges and recommend new capabilities that would simplify adoption and drive greater value from use of AWS cloud services. - Push the envelope – Cloud computing is reducing the historical “IT constraint” on businesses. Imagine bold possibilities and work with our clients and partners to find innovative new ways to satisfy business needs through Data / Business Intelligence cloud computing. Amazon aims to be the most customer centric company on earth. Amazon Web Services (AWS) provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers critical applications for hundreds of thousands of businesses in 190 countries around the world.

Are you a Data Analytics specialist? Do you have Data Warehousing and/or Hadoop/Data Lake experience? Do you like to solve the most complex and high scale (billions + records) data challenges in the world today? Would you like a career that gives you opportunities to help customers and partners use cloud computing to do big new things faster and at lower cost? Do you want to be part of history and transform businesses through cloud computing adoption? Do you like to work on-site in a variety of business environments, leading teams through high impact projects that use the newest data analytic technologies? Would you like a career path that enables you to progress with the rapid adoption of cloud computing? At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements involve emerging technologies like AI, IoT, and Data Analytics. This role will specifically focus on Data and Analytics capabilities and helping our customers and partners to remove the constraints that prevent our customers from leveraging their data to develop business insights. At AWS, we are hiring the best Data / Analytics cloud computing consultants, who can help our clients and partners derive business value from Data in the cloud. Our consultants will collaborate with partner and client teams to deliver proof-of-concept projects, conduct topical workshops, and lead implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, batch/real-time data processing, Data and Business intelligence. This role will specifically focus on Data processing capabilities and helping our customers and partners to remove the constraints that prevent our customers from leveraging their data to develop business insights. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Amazon Elastic Compute Cloud (EC2), Amazon Data Pipeline, S3, DynamoDB NoSQL, Relational Database Service (RDS), Elastic Map Reduce (EMR) and Amazon Redshift. - Solutions - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, creating consulting proposals and creating packaged Data & Analytics service offerings. - Delivery - Engagements include short on-site projects proving the use of AWS services to support new distributed computing solutions that often span private cloud and public cloud services. Engagements will include migration of existing applications and development of new applications using AWS cloud services. - Insights - Work with AWS engineering and support teams to convey partner and customer needs and feedback as input to technology roadmaps. Share real world implementation challenges and recommend new capabilities that would simplify adoption and drive greater value from use of AWS cloud services. - Push the envelope – Cloud computing is reducing the historical “IT constraint” on businesses. Imagine bold possibilities and work with our clients and partners to find innovative new ways to satisfy business needs through Data / Business Intelligence cloud computing. Amazon aims to be the most customer centric company on earth. Amazon Web Services (AWS) provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers critical applications for hundreds of thousands of businesses in 190 countries around the world.

Are you a Data Analytics specialist? Do you have Data Warehousing and/or Hadoop/Data Lake experience? Do you like to solve the most complex and high scale (billions + records) data challenges in the world today? Would you like a career that gives you opportunities to help customers and partners use cloud computing to do big new things faster and at lower cost? Do you want to be part of history and transform businesses through cloud computing adoption? Do you like to work on-site in a variety of business environments, leading teams through high impact projects that use the newest data analytic technologies? Would you like a career path that enables you to progress with the rapid adoption of cloud computing? At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements involve emerging technologies like AI, IoT, and Data Analytics. This role will specifically focus on Data and Analytics capabilities and helping our customers and partners to remove the constraints that prevent our customers from leveraging their data to develop business insights. At AWS, we are hiring the best Data / Analytics cloud computing consultants, who can help our clients and partners derive business value from Data in the cloud. Our consultants will collaborate with partner and client teams to deliver proof-of-concept projects, conduct topical workshops, and lead implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, batch/real-time data processing, Data and Business intelligence. This role will specifically focus on Data processing capabilities and helping our customers and partners to remove the constraints that prevent our customers from leveraging their data to develop business insights. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Amazon Elastic Compute Cloud (EC2), Amazon Data Pipeline, S3, DynamoDB NoSQL, Relational Database Service (RDS), Elastic Map Reduce (EMR) and Amazon Redshift. - Solutions - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, creating consulting proposals and creating packaged Data & Analytics service offerings. - Delivery - Engagements include short on-site projects proving the use of AWS services to support new distributed computing solutions that often span private cloud and public cloud services. Engagements will include migration of existing applications and development of new applications using AWS cloud services. - Insights - Work with AWS engineering and support teams to convey partner and customer needs and feedback as input to technology roadmaps. Share real world implementation challenges and recommend new capabilities that would simplify adoption and drive greater value from use of AWS cloud services. - Push the envelope – Cloud computing is reducing the historical “IT constraint” on businesses. Imagine bold possibilities and work with our clients and partners to find innovative new ways to satisfy business needs through Data / Business Intelligence cloud computing. Amazon aims to be the most customer centric company on earth. Amazon Web Services (AWS) provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers critical applications for hundreds of thousands of businesses in 190 countries around the world.

Are you a Data Analytics specialist? Do you have Data Warehousing and/or Hadoop/Data Lake experience? Do you like to solve the most complex and high scale (billions + records) data challenges in the world today? Would you like a career that gives you opportunities to help customers and partners use cloud computing to do big new things faster and at lower cost? Do you want to be part of history and transform businesses through cloud computing adoption? Do you like to work on-site in a variety of business environments, leading teams through high impact projects that use the newest data analytic technologies? Would you like a career path that enables you to progress with the rapid adoption of cloud computing? At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements involve emerging technologies like AI, IoT, and Data Analytics. This role will specifically focus on Data and Analytics capabilities and helping our customers and partners to remove the constraints that prevent our customers from leveraging their data to develop business insights. At AWS, we are hiring the best Data / Analytics cloud computing consultants, who can help our clients and partners derive business value from Data in the cloud. Our consultants will collaborate with partner and client teams to deliver proof-of-concept projects, conduct topical workshops, and lead implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, batch/real-time data processing, Data and Business intelligence. This role will specifically focus on Data processing capabilities and helping our customers and partners to remove the constraints that prevent our customers from leveraging their data to develop business insights. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Amazon Elastic Compute Cloud (EC2), Amazon Data Pipeline, S3, DynamoDB NoSQL, Relational Database Service (RDS), Elastic Map Reduce (EMR) and Amazon Redshift. - Solutions - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, creating consulting proposals and creating packaged Data & Analytics service offerings. - Delivery - Engagements include short on-site projects proving the use of AWS services to support new distributed computing solutions that often span private cloud and public cloud services. Engagements will include migration of existing applications and development of new applications using AWS cloud services. - Insights - Work with AWS engineering and support teams to convey partner and customer needs and feedback as input to technology roadmaps. Share real world implementation challenges and recommend new capabilities that would simplify adoption and drive greater value from use of AWS cloud services. - Push the envelope – Cloud computing is reducing the historical “IT constraint” on businesses. Imagine bold possibilities and work with our clients and partners to find innovative new ways to satisfy business needs through Data / Business Intelligence cloud computing. Amazon aims to be the most customer centric company on earth. Amazon Web Services (AWS) provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers critical applications for hundreds of thousands of businesses in 190 countries around the world.

Are you a Data Analytics specialist? Do you have Data Warehousing and/or Hadoop/Data Lake experience? Do you like to solve the most complex and high scale (billions + records) data challenges in the world today? Would you like a career that gives you opportunities to help customers and partners use cloud computing to do big new things faster and at lower cost? Do you want to be part of history and transform businesses through cloud computing adoption? Do you like to work on-site in a variety of business environments, leading teams through high impact projects that use the newest data analytic technologies? Would you like a career path that enables you to progress with the rapid adoption of cloud computing? At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements involve emerging technologies like AI, IoT, and Data Analytics. This role will specifically focus on Data and Analytics capabilities and helping our customers and partners to remove the constraints that prevent our customers from leveraging their data to develop business insights. At AWS, we are hiring the best Data / Analytics cloud computing consultants, who can help our clients and partners derive business value from Data in the cloud. Our consultants will collaborate with partner and client teams to deliver proof-of-concept projects, conduct topical workshops, and lead implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, batch/real-time data processing, Data and Business intelligence. This role will specifically focus on Data processing capabilities and helping our customers and partners to remove the constraints that prevent our customers from leveraging their data to develop business insights. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Amazon Elastic Compute Cloud (EC2), Amazon Data Pipeline, S3, DynamoDB NoSQL, Relational Database Service (RDS), Elastic Map Reduce (EMR) and Amazon Redshift. - Solutions - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, creating consulting proposals and creating packaged Data & Analytics service offerings. - Delivery - Engagements include short on-site projects proving the use of AWS services to support new distributed computing solutions that often span private cloud and public cloud services. Engagements will include migration of existing applications and development of new applications using AWS cloud services. - Insights - Work with AWS engineering and support teams to convey partner and customer needs and feedback as input to technology roadmaps. Share real world implementation challenges and recommend new capabilities that would simplify adoption and drive greater value from use of AWS cloud services. - Push the envelope – Cloud computing is reducing the historical “IT constraint” on businesses. Imagine bold possibilities and work with our clients and partners to find innovative new ways to satisfy business needs through Data / Business Intelligence cloud computing. Amazon aims to be the most customer centric company on earth. Amazon Web Services (AWS) provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers critical applications for hundreds of thousands of businesses in 190 countries around the world.

Are you a Data Analytics specialist? Do you have Data Warehousing and/or Hadoop/Data Lake experience? Do you like to solve the most complex and high scale (billions + records) data challenges in the world today? Would you like a career that gives you opportunities to help customers and partners use cloud computing to do big new things faster and at lower cost? Do you want to be part of history and transform businesses through cloud computing adoption? Do you like to work on-site in a variety of business environments, leading teams through high impact projects that use the newest data analytic technologies? Would you like a career path that enables you to progress with the rapid adoption of cloud computing? At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements involve emerging technologies like AI, IoT, and Data Analytics. This role will specifically focus on Data and Analytics capabilities and helping our customers and partners to remove the constraints that prevent our customers from leveraging their data to develop business insights. At AWS, we are hiring the best Data / Analytics cloud computing consultants, who can help our clients and partners derive business value from Data in the cloud. Our consultants will collaborate with partner and client teams to deliver proof-of-concept projects, conduct topical workshops, and lead implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, batch/real-time data processing, Data and Business intelligence. This role will specifically focus on Data processing capabilities and helping our customers and partners to remove the constraints that prevent our customers from leveraging their data to develop business insights. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Amazon Elastic Compute Cloud (EC2), Amazon Data Pipeline, S3, DynamoDB NoSQL, Relational Database Service (RDS), Elastic Map Reduce (EMR) and Amazon Redshift. - Solutions - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, creating consulting proposals and creating packaged Data & Analytics service offerings. - Delivery - Engagements include short on-site projects proving the use of AWS services to support new distributed computing solutions that often span private cloud and public cloud services. Engagements will include migration of existing applications and development of new applications using AWS cloud services. - Insights - Work with AWS engineering and support teams to convey partner and customer needs and feedback as input to technology roadmaps. Share real world implementation challenges and recommend new capabilities that would simplify adoption and drive greater value from use of AWS cloud services. - Push the envelope – Cloud computing is reducing the historical “IT constraint” on businesses. Imagine bold possibilities and work with our clients and partners to find innovative new ways to satisfy business needs through Data / Business Intelligence cloud computing. Amazon aims to be the most customer centric company on earth. Amazon Web Services (AWS) provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers critical applications for hundreds of thousands of businesses in 190 countries around the world.

Are you a Data Analytics specialist? Do you have Data Warehousing and/or Hadoop/Data Lake experience? Do you like to solve the most complex and high scale (billions + records) data challenges in the world today? Would you like a career that gives you opportunities to help customers and partners use cloud computing to do big new things faster and at lower cost? Do you want to be part of history and transform businesses through cloud computing adoption? Do you like to work on-site in a variety of business environments, leading teams through high impact projects that use the newest data analytic technologies? Would you like a career path that enables you to progress with the rapid adoption of cloud computing? At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements involve emerging technologies like AI, IoT, and Data Analytics. This role will specifically focus on Data and Analytics capabilities and helping our customers and partners to remove the constraints that prevent our customers from leveraging their data to develop business insights. At AWS, we are hiring the best Data / Analytics cloud computing consultants, who can help our clients and partners derive business value from Data in the cloud. Our consultants will collaborate with partner and client teams to deliver proof-of-concept projects, conduct topical workshops, and lead implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, batch/real-time data processing, Data and Business intelligence. This role will specifically focus on Data processing capabilities and helping our customers and partners to remove the constraints that prevent our customers from leveraging their data to develop business insights. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Amazon Elastic Compute Cloud (EC2), Amazon Data Pipeline, S3, DynamoDB NoSQL, Relational Database Service (RDS), Elastic Map Reduce (EMR) and Amazon Redshift. - Solutions - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, creating consulting proposals and creating packaged Data & Analytics service offerings. - Delivery - Engagements include short on-site projects proving the use of AWS services to support new distributed computing solutions that often span private cloud and public cloud services. Engagements will include migration of existing applications and development of new applications using AWS cloud services. - Insights - Work with AWS engineering and support teams to convey partner and customer needs and feedback as input to technology roadmaps. Share real world implementation challenges and recommend new capabilities that would simplify adoption and drive greater value from use of AWS cloud services. - Push the envelope – Cloud computing is reducing the historical “IT constraint” on businesses. Imagine bold possibilities and work with our clients and partners to find innovative new ways to satisfy business needs through Data / Business Intelligence cloud computing. Amazon aims to be the most customer centric company on earth. Amazon Web Services (AWS) provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers critical applications for hundreds of thousands of businesses in 190 countries around the world.

Are you a Data Analytics specialist? Do you have Data Warehousing and/or Hadoop/Data Lake experience? Do you like to solve the most complex and high scale (billions + records) data challenges in the world today? Would you like a career that gives you opportunities to help customers and partners use cloud computing to do big new things faster and at lower cost? Do you want to be part of history and transform businesses through cloud computing adoption? Do you like to work on-site in a variety of business environments, leading teams through high impact projects that use the newest data analytic technologies? Would you like a career path that enables you to progress with the rapid adoption of cloud computing? At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements involve emerging technologies like AI, IoT, and Data Analytics. This role will specifically focus on Data and Analytics capabilities and helping our customers and partners to remove the constraints that prevent our customers from leveraging their data to develop business insights. At AWS, we are hiring the best Data / Analytics cloud computing consultants, who can help our clients and partners derive business value from Data in the cloud. Our consultants will collaborate with partner and client teams to deliver proof-of-concept projects, conduct topical workshops, and lead implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, batch/real-time data processing, Data and Business intelligence. This role will specifically focus on Data processing capabilities and helping our customers and partners to remove the constraints that prevent our customers from leveraging their data to develop business insights. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Amazon Elastic Compute Cloud (EC2), Amazon Data Pipeline, S3, DynamoDB NoSQL, Relational Database Service (RDS), Elastic Map Reduce (EMR) and Amazon Redshift. - Solutions - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, creating consulting proposals and creating packaged Data & Analytics service offerings. - Delivery - Engagements include short on-site projects proving the use of AWS services to support new distributed computing solutions that often span private cloud and public cloud services. Engagements will include migration of existing applications and development of new applications using AWS cloud services. - Insights - Work with AWS engineering and support teams to convey partner and customer needs and feedback as input to technology roadmaps. Share real world implementation challenges and recommend new capabilities that would simplify adoption and drive greater value from use of AWS cloud services. - Push the envelope – Cloud computing is reducing the historical “IT constraint” on businesses. Imagine bold possibilities and work with our clients and partners to find innovative new ways to satisfy business needs through Data / Business Intelligence cloud computing. Amazon aims to be the most customer centric company on earth. Amazon Web Services (AWS) provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers critical applications for hundreds of thousands of businesses in 190 countries around the world.

Are you a Data Analytics specialist? Do you have Data Warehousing and/or Hadoop/Data Lake experience? Do you like to solve the most complex and high scale (billions + records) data challenges in the world today? Would you like a career that gives you opportunities to help customers and partners use cloud computing to do big new things faster and at lower cost? Do you want to be part of history and transform businesses through cloud computing adoption? Do you like to work on-site in a variety of business environments, leading teams through high impact projects that use the newest data analytic technologies? Would you like a career path that enables you to progress with the rapid adoption of cloud computing? At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements involve emerging technologies like AI, IoT, and Data Analytics. This role will specifically focus on Data and Analytics capabilities and helping our customers and partners to remove the constraints that prevent our customers from leveraging their data to develop business insights. At AWS, we are hiring the best Data / Analytics cloud computing consultants, who can help our clients and partners derive business value from Data in the cloud. Our consultants will collaborate with partner and client teams to deliver proof-of-concept projects, conduct topical workshops, and lead implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, batch/real-time data processing, Data and Business intelligence. This role will specifically focus on Data processing capabilities and helping our customers and partners to remove the constraints that prevent our customers from leveraging their data to develop business insights. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Amazon Elastic Compute Cloud (EC2), Amazon Data Pipeline, S3, DynamoDB NoSQL, Relational Database Service (RDS), Elastic Map Reduce (EMR) and Amazon Redshift. - Solutions - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, creating consulting proposals and creating packaged Data & Analytics service offerings. - Delivery - Engagements include short on-site projects proving the use of AWS services to support new distributed computing solutions that often span private cloud and public cloud services. Engagements will include migration of existing applications and development of new applications using AWS cloud services. - Insights - Work with AWS engineering and support teams to convey partner and customer needs and feedback as input to technology roadmaps. Share real world implementation challenges and recommend new capabilities that would simplify adoption and drive greater value from use of AWS cloud services. - Push the envelope – Cloud computing is reducing the historical “IT constraint” on businesses. Imagine bold possibilities and work with our clients and partners to find innovative new ways to satisfy business needs through Data / Business Intelligence cloud computing. Amazon aims to be the most customer centric company on earth. Amazon Web Services (AWS) provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers critical applications for hundreds of thousands of businesses in 190 countries around the world.

Are you a Data Analytics specialist? Do you have Data Warehousing and/or Hadoop/Data Lake experience? Do you like to solve the most complex and high scale (billions + records) data challenges in the world today? Would you like a career that gives you opportunities to help customers and partners use cloud computing to do big new things faster and at lower cost? Do you want to be part of history and transform businesses through cloud computing adoption? Do you like to work on-site in a variety of business environments, leading teams through high impact projects that use the newest data analytic technologies? Would you like a career path that enables you to progress with the rapid adoption of cloud computing? At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements involve emerging technologies like AI, IoT, and Data Analytics. This role will specifically focus on Data and Analytics capabilities and helping our customers and partners to remove the constraints that prevent our customers from leveraging their data to develop business insights. At AWS, we are hiring the best Data / Analytics cloud computing consultants, who can help our clients and partners derive business value from Data in the cloud. Our consultants will collaborate with partner and client teams to deliver proof-of-concept projects, conduct topical workshops, and lead implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, batch/real-time data processing, Data and Business intelligence. This role will specifically focus on Data processing capabilities and helping our customers and partners to remove the constraints that prevent our customers from leveraging their data to develop business insights. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Amazon Elastic Compute Cloud (EC2), Amazon Data Pipeline, S3, DynamoDB NoSQL, Relational Database Service (RDS), Elastic Map Reduce (EMR) and Amazon Redshift. - Solutions - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, creating consulting proposals and creating packaged Data & Analytics service offerings. - Delivery - Engagements include short on-site projects proving the use of AWS services to support new distributed computing solutions that often span private cloud and public cloud services. Engagements will include migration of existing applications and development of new applications using AWS cloud services. - Insights - Work with AWS engineering and support teams to convey partner and customer needs and feedback as input to technology roadmaps. Share real world implementation challenges and recommend new capabilities that would simplify adoption and drive greater value from use of AWS cloud services. - Push the envelope – Cloud computing is reducing the historical “IT constraint” on businesses. Imagine bold possibilities and work with our clients and partners to find innovative new ways to satisfy business needs through Data / Business Intelligence cloud computing. Amazon aims to be the most customer centric company on earth. Amazon Web Services (AWS) provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers critical applications for hundreds of thousands of businesses in 190 countries around the world.

Are you a Data Analytics specialist? Do you have Data Warehousing and/or Hadoop/Data Lake experience? Do you like to solve the most complex and high scale (billions + records) data challenges in the world today? Would you like a career that gives you opportunities to help customers and partners use cloud computing to do big new things faster and at lower cost? Do you want to be part of history and transform businesses through cloud computing adoption? Do you like to work on-site in a variety of business environments, leading teams through high impact projects that use the newest data analytic technologies? Would you like a career path that enables you to progress with the rapid adoption of cloud computing? At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements involve emerging technologies like AI, IoT, and Data Analytics. This role will specifically focus on Data and Analytics capabilities and helping our customers and partners to remove the constraints that prevent our customers from leveraging their data to develop business insights. At AWS, we are hiring the best Data / Analytics cloud computing consultants, who can help our clients and partners derive business value from Data in the cloud. Our consultants will collaborate with partner and client teams to deliver proof-of-concept projects, conduct topical workshops, and lead implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, batch/real-time data processing, Data and Business intelligence. This role will specifically focus on Data processing capabilities and helping our customers and partners to remove the constraints that prevent our customers from leveraging their data to develop business insights. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Amazon Elastic Compute Cloud (EC2), Amazon Data Pipeline, S3, DynamoDB NoSQL, Relational Database Service (RDS), Elastic Map Reduce (EMR) and Amazon Redshift. - Solutions - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, creating consulting proposals and creating packaged Data & Analytics service offerings. - Delivery - Engagements include short on-site projects proving the use of AWS services to support new distributed computing solutions that often span private cloud and public cloud services. Engagements will include migration of existing applications and development of new applications using AWS cloud services. - Insights - Work with AWS engineering and support teams to convey partner and customer needs and feedback as input to technology roadmaps. Share real world implementation challenges and recommend new capabilities that would simplify adoption and drive greater value from use of AWS cloud services. - Push the envelope – Cloud computing is reducing the historical “IT constraint” on businesses. Imagine bold possibilities and work with our clients and partners to find innovative new ways to satisfy business needs through Data / Business Intelligence cloud computing. Amazon aims to be the most customer centric company on earth. Amazon Web Services (AWS) provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers critical applications for hundreds of thousands of businesses in 190 countries around the world.

Are you a Data Analytics specialist? Do you have Data Warehousing and/or Hadoop/Data Lake experience? Do you like to solve the most complex and high scale (billions + records) data challenges in the world today? Would you like a career that gives you opportunities to help customers and partners use cloud computing to do big new things faster and at lower cost? Do you want to be part of history and transform businesses through cloud computing adoption? Do you like to work on-site in a variety of business environments, leading teams through high impact projects that use the newest data analytic technologies? Would you like a career path that enables you to progress with the rapid adoption of cloud computing? At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements involve emerging technologies like AI, IoT, and Data Analytics. This role will specifically focus on Data and Analytics capabilities and helping our customers and partners to remove the constraints that prevent our customers from leveraging their data to develop business insights. At AWS, we are hiring the best Data / Analytics cloud computing consultants, who can help our clients and partners derive business value from Data in the cloud. Our consultants will collaborate with partner and client teams to deliver proof-of-concept projects, conduct topical workshops, and lead implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, batch/real-time data processing, Data and Business intelligence. This role will specifically focus on Data processing capabilities and helping our customers and partners to remove the constraints that prevent our customers from leveraging their data to develop business insights. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Amazon Elastic Compute Cloud (EC2), Amazon Data Pipeline, S3, DynamoDB NoSQL, Relational Database Service (RDS), Elastic Map Reduce (EMR) and Amazon Redshift. - Solutions - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, creating consulting proposals and creating packaged Data & Analytics service offerings. - Delivery - Engagements include short on-site projects proving the use of AWS services to support new distributed computing solutions that often span private cloud and public cloud services. Engagements will include migration of existing applications and development of new applications using AWS cloud services. - Insights - Work with AWS engineering and support teams to convey partner and customer needs and feedback as input to technology roadmaps. Share real world implementation challenges and recommend new capabilities that would simplify adoption and drive greater value from use of AWS cloud services. - Push the envelope – Cloud computing is reducing the historical “IT constraint” on businesses. Imagine bold possibilities and work with our clients and partners to find innovative new ways to satisfy business needs through Data / Business Intelligence cloud computing. Amazon aims to be the most customer centric company on earth. Amazon Web Services (AWS) provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers critical applications for hundreds of thousands of businesses in 190 countries around the world.

Are you a Data Analytics specialist? Do you have Data Warehousing and/or Hadoop/Data Lake experience? Do you like to solve the most complex and high scale (billions + records) data challenges in the world today? Would you like a career that gives you opportunities to help customers and partners use cloud computing to do big new things faster and at lower cost? Do you want to be part of history and transform businesses through cloud computing adoption? Do you like to work on-site in a variety of business environments, leading teams through high impact projects that use the newest data analytic technologies? Would you like a career path that enables you to progress with the rapid adoption of cloud computing? At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements involve emerging technologies like AI, IoT, and Data Analytics. This role will specifically focus on Data and Analytics capabilities and helping our customers and partners to remove the constraints that prevent our customers from leveraging their data to develop business insights. At AWS, we are hiring the best Data / Analytics cloud computing consultants, who can help our clients and partners derive business value from Data in the cloud. Our consultants will collaborate with partner and client teams to deliver proof-of-concept projects, conduct topical workshops, and lead implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, batch/real-time data processing, Data and Business intelligence. This role will specifically focus on Data processing capabilities and helping our customers and partners to remove the constraints that prevent our customers from leveraging their data to develop business insights. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Amazon Elastic Compute Cloud (EC2), Amazon Data Pipeline, S3, DynamoDB NoSQL, Relational Database Service (RDS), Elastic Map Reduce (EMR) and Amazon Redshift. - Solutions - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, creating consulting proposals and creating packaged Data & Analytics service offerings. - Delivery - Engagements include short on-site projects proving the use of AWS services to support new distributed computing solutions that often span private cloud and public cloud services. Engagements will include migration of existing applications and development of new applications using AWS cloud services. - Insights - Work with AWS engineering and support teams to convey partner and customer needs and feedback as input to technology roadmaps. Share real world implementation challenges and recommend new capabilities that would simplify adoption and drive greater value from use of AWS cloud services. - Push the envelope – Cloud computing is reducing the historical “IT constraint” on businesses. Imagine bold possibilities and work with our clients and partners to find innovative new ways to satisfy business needs through Data / Business Intelligence cloud computing. Amazon aims to be the most customer centric company on earth. Amazon Web Services (AWS) provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers critical applications for hundreds of thousands of businesses in 190 countries around the world.

Are you a Data Analytics specialist? Do you have Data Warehousing and/or Hadoop/Data Lake experience? Do you like to solve the most complex and high scale (billions + records) data challenges in the world today? Would you like a career that gives you opportunities to help customers and partners use cloud computing to do big new things faster and at lower cost? Do you want to be part of history and transform businesses through cloud computing adoption? Do you like to work on-site in a variety of business environments, leading teams through high impact projects that use the newest data analytic technologies? Would you like a career path that enables you to progress with the rapid adoption of cloud computing? At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements involve emerging technologies like AI, IoT, and Data Analytics. This role will specifically focus on Data and Analytics capabilities and helping our customers and partners to remove the constraints that prevent our customers from leveraging their data to develop business insights. At AWS, we are hiring the best Data / Analytics cloud computing consultants, who can help our clients and partners derive business value from Data in the cloud. Our consultants will collaborate with partner and client teams to deliver proof-of-concept projects, conduct topical workshops, and lead implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, batch/real-time data processing, Data and Business intelligence. This role will specifically focus on Data processing capabilities and helping our customers and partners to remove the constraints that prevent our customers from leveraging their data to develop business insights. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Amazon Elastic Compute Cloud (EC2), Amazon Data Pipeline, S3, DynamoDB NoSQL, Relational Database Service (RDS), Elastic Map Reduce (EMR) and Amazon Redshift. - Solutions - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, creating consulting proposals and creating packaged Data & Analytics service offerings. - Delivery - Engagements include short on-site projects proving the use of AWS services to support new distributed computing solutions that often span private cloud and public cloud services. Engagements will include migration of existing applications and development of new applications using AWS cloud services. - Insights - Work with AWS engineering and support teams to convey partner and customer needs and feedback as input to technology roadmaps. Share real world implementation challenges and recommend new capabilities that would simplify adoption and drive greater value from use of AWS cloud services. - Push the envelope – Cloud computing is reducing the historical “IT constraint” on businesses. Imagine bold possibilities and work with our clients and partners to find innovative new ways to satisfy business needs through Data / Business Intelligence cloud computing. Amazon aims to be the most customer centric company on earth. Amazon Web Services (AWS) provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers critical applications for hundreds of thousands of businesses in 190 countries around the world.

Are you a Data Analytics specialist? Do you have Data Warehousing and/or Hadoop/Data Lake experience? Do you like to solve the most complex and high scale (billions + records) data challenges in the world today? Would you like a career that gives you opportunities to help customers and partners use cloud computing to do big new things faster and at lower cost? Do you want to be part of history and transform businesses through cloud computing adoption? Do you like to work on-site in a variety of business environments, leading teams through high impact projects that use the newest data analytic technologies? Would you like a career path that enables you to progress with the rapid adoption of cloud computing? At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements involve emerging technologies like AI, IoT, and Data Analytics. This role will specifically focus on Data and Analytics capabilities and helping our customers and partners to remove the constraints that prevent our customers from leveraging their data to develop business insights. At AWS, we are hiring the best Data / Analytics cloud computing consultants, who can help our clients and partners derive business value from Data in the cloud. Our consultants will collaborate with partner and client teams to deliver proof-of-concept projects, conduct topical workshops, and lead implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, batch/real-time data processing, Data and Business intelligence. This role will specifically focus on Data processing capabilities and helping our customers and partners to remove the constraints that prevent our customers from leveraging their data to develop business insights. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Amazon Elastic Compute Cloud (EC2), Amazon Data Pipeline, S3, DynamoDB NoSQL, Relational Database Service (RDS), Elastic Map Reduce (EMR) and Amazon Redshift. - Solutions - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, creating consulting proposals and creating packaged Data & Analytics service offerings. - Delivery - Engagements include short on-site projects proving the use of AWS services to support new distributed computing solutions that often span private cloud and public cloud services. Engagements will include migration of existing applications and development of new applications using AWS cloud services. - Insights - Work with AWS engineering and support teams to convey partner and customer needs and feedback as input to technology roadmaps. Share real world implementation challenges and recommend new capabilities that would simplify adoption and drive greater value from use of AWS cloud services. - Push the envelope – Cloud computing is reducing the historical “IT constraint” on businesses. Imagine bold possibilities and work with our clients and partners to find innovative new ways to satisfy business needs through Data / Business Intelligence cloud computing. Amazon aims to be the most customer centric company on earth. Amazon Web Services (AWS) provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers critical applications for hundreds of thousands of businesses in 190 countries around the world.

Are you a Data Analytics specialist? Do you have Data Warehousing and/or Hadoop/Data Lake experience? Do you like to solve the most complex and high scale (billions + records) data challenges in the world today? Would you like a career that gives you opportunities to help customers and partners use cloud computing to do big new things faster and at lower cost? Do you want to be part of history and transform businesses through cloud computing adoption? Do you like to work on-site in a variety of business environments, leading teams through high impact projects that use the newest data analytic technologies? Would you like a career path that enables you to progress with the rapid adoption of cloud computing? At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements involve emerging technologies like AI, IoT, and Data Analytics. This role will specifically focus on Data and Analytics capabilities and helping our customers and partners to remove the constraints that prevent our customers from leveraging their data to develop business insights. At AWS, we are hiring the best Data / Analytics cloud computing consultants, who can help our clients and partners derive business value from Data in the cloud. Our consultants will collaborate with partner and client teams to deliver proof-of-concept projects, conduct topical workshops, and lead implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, batch/real-time data processing, Data and Business intelligence. This role will specifically focus on Data processing capabilities and helping our customers and partners to remove the constraints that prevent our customers from leveraging their data to develop business insights. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Amazon Elastic Compute Cloud (EC2), Amazon Data Pipeline, S3, DynamoDB NoSQL, Relational Database Service (RDS), Elastic Map Reduce (EMR) and Amazon Redshift. - Solutions - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, creating consulting proposals and creating packaged Data & Analytics service offerings. - Delivery - Engagements include short on-site projects proving the use of AWS services to support new distributed computing solutions that often span private cloud and public cloud services. Engagements will include migration of existing applications and development of new applications using AWS cloud services. - Insights - Work with AWS engineering and support teams to convey partner and customer needs and feedback as input to technology roadmaps. Share real world implementation challenges and recommend new capabilities that would simplify adoption and drive greater value from use of AWS cloud services. - Push the envelope – Cloud computing is reducing the historical “IT constraint” on businesses. Imagine bold possibilities and work with our clients and partners to find innovative new ways to satisfy business needs through Data / Business Intelligence cloud computing. Amazon aims to be the most customer centric company on earth. Amazon Web Services (AWS) provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers critical applications for hundreds of thousands of businesses in 190 countries around the world.

Are you a Data Analytics specialist? Do you have Data Warehousing and/or Hadoop/Data Lake experience? Do you like to solve the most complex and high scale (billions + records) data challenges in the world today? Would you like a career that gives you opportunities to help customers and partners use cloud computing to do big new things faster and at lower cost? Do you want to be part of history and transform businesses through cloud computing adoption? Do you like to work on-site in a variety of business environments, leading teams through high impact projects that use the newest data analytic technologies? Would you like a career path that enables you to progress with the rapid adoption of cloud computing? At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements involve emerging technologies like AI, IoT, and Data Analytics. This role will specifically focus on Data and Analytics capabilities and helping our customers and partners to remove the constraints that prevent our customers from leveraging their data to develop business insights. At AWS, we are hiring the best Data / Analytics cloud computing consultants, who can help our clients and partners derive business value from Data in the cloud. Our consultants will collaborate with partner and client teams to deliver proof-of-concept projects, conduct topical workshops, and lead implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, batch/real-time data processing, Data and Business intelligence. This role will specifically focus on Data processing capabilities and helping our customers and partners to remove the constraints that prevent our customers from leveraging their data to develop business insights. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Amazon Elastic Compute Cloud (EC2), Amazon Data Pipeline, S3, DynamoDB NoSQL, Relational Database Service (RDS), Elastic Map Reduce (EMR) and Amazon Redshift. - Solutions - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, creating consulting proposals and creating packaged Data & Analytics service offerings. - Delivery - Engagements include short on-site projects proving the use of AWS services to support new distributed computing solutions that often span private cloud and public cloud services. Engagements will include migration of existing applications and development of new applications using AWS cloud services. - Insights - Work with AWS engineering and support teams to convey partner and customer needs and feedback as input to technology roadmaps. Share real world implementation challenges and recommend new capabilities that would simplify adoption and drive greater value from use of AWS cloud services. - Push the envelope – Cloud computing is reducing the historical “IT constraint” on businesses. Imagine bold possibilities and work with our clients and partners to find innovative new ways to satisfy business needs through Data / Business Intelligence cloud computing. Amazon aims to be the most customer centric company on earth. Amazon Web Services (AWS) provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers critical applications for hundreds of thousands of businesses in 190 countries around the world.

Are you a Data Analytics specialist? Do you have Data Warehousing and/or Hadoop/Data Lake experience? Do you like to solve the most complex and high scale (billions + records) data challenges in the world today? Would you like a career that gives you opportunities to help customers and partners use cloud computing to do big new things faster and at lower cost? Do you want to be part of history and transform businesses through cloud computing adoption? Do you like to work on-site in a variety of business environments, leading teams through high impact projects that use the newest data analytic technologies? Would you like a career path that enables you to progress with the rapid adoption of cloud computing? At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements involve emerging technologies like AI, IoT, and Data Analytics. This role will specifically focus on Data and Analytics capabilities and helping our customers and partners to remove the constraints that prevent our customers from leveraging their data to develop business insights. At AWS, we are hiring the best Data / Analytics cloud computing consultants, who can help our clients and partners derive business value from Data in the cloud. Our consultants will collaborate with partner and client teams to deliver proof-of-concept projects, conduct topical workshops, and lead implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, batch/real-time data processing, Data and Business intelligence. This role will specifically focus on Data processing capabilities and helping our customers and partners to remove the constraints that prevent our customers from leveraging their data to develop business insights. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Amazon Elastic Compute Cloud (EC2), Amazon Data Pipeline, S3, DynamoDB NoSQL, Relational Database Service (RDS), Elastic Map Reduce (EMR) and Amazon Redshift. - Solutions - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, creating consulting proposals and creating packaged Data & Analytics service offerings. - Delivery - Engagements include short on-site projects proving the use of AWS services to support new distributed computing solutions that often span private cloud and public cloud services. Engagements will include migration of existing applications and development of new applications using AWS cloud services. - Insights - Work with AWS engineering and support teams to convey partner and customer needs and feedback as input to technology roadmaps. Share real world implementation challenges and recommend new capabilities that would simplify adoption and drive greater value from use of AWS cloud services. - Push the envelope – Cloud computing is reducing the historical “IT constraint” on businesses. Imagine bold possibilities and work with our clients and partners to find innovative new ways to satisfy business needs through Data / Business Intelligence cloud computing. Amazon aims to be the most customer centric company on earth. Amazon Web Services (AWS) provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers critical applications for hundreds of thousands of businesses in 190 countries around the world.

Are you a Data Analytics specialist? Do you have Data Warehousing and/or Hadoop/Data Lake experience? Do you like to solve the most complex and high scale (billions + records) data challenges in the world today? Would you like a career that gives you opportunities to help customers and partners use cloud computing to do big new things faster and at lower cost? Do you want to be part of history and transform businesses through cloud computing adoption? Do you like to work on-site in a variety of business environments, leading teams through high impact projects that use the newest data analytic technologies? Would you like a career path that enables you to progress with the rapid adoption of cloud computing? At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements involve emerging technologies like AI, IoT, and Data Analytics. This role will specifically focus on Data and Analytics capabilities and helping our customers and partners to remove the constraints that prevent our customers from leveraging their data to develop business insights. At AWS, we are hiring the best Data / Analytics cloud computing consultants, who can help our clients and partners derive business value from Data in the cloud. Our consultants will collaborate with partner and client teams to deliver proof-of-concept projects, conduct topical workshops, and lead implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, batch/real-time data processing, Data and Business intelligence. This role will specifically focus on Data processing capabilities and helping our customers and partners to remove the constraints that prevent our customers from leveraging their data to develop business insights. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Amazon Elastic Compute Cloud (EC2), Amazon Data Pipeline, S3, DynamoDB NoSQL, Relational Database Service (RDS), Elastic Map Reduce (EMR) and Amazon Redshift. - Solutions - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, creating consulting proposals and creating packaged Data & Analytics service offerings. - Delivery - Engagements include short on-site projects proving the use of AWS services to support new distributed computing solutions that often span private cloud and public cloud services. Engagements will include migration of existing applications and development of new applications using AWS cloud services. - Insights - Work with AWS engineering and support teams to convey partner and customer needs and feedback as input to technology roadmaps. Share real world implementation challenges and recommend new capabilities that would simplify adoption and drive greater value from use of AWS cloud services. - Push the envelope – Cloud computing is reducing the historical “IT constraint” on businesses. Imagine bold possibilities and work with our clients and partners to find innovative new ways to satisfy business needs through Data / Business Intelligence cloud computing. Amazon aims to be the most customer centric company on earth. Amazon Web Services (AWS) provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers critical applications for hundreds of thousands of businesses in 190 countries around the world.

Are you a Data Analytics specialist? Do you have Data Warehousing and/or Hadoop/Data Lake experience? Do you like to solve the most complex and high scale (billions + records) data challenges in the world today? Would you like a career that gives you opportunities to help customers and partners use cloud computing to do big new things faster and at lower cost? Do you want to be part of history and transform businesses through cloud computing adoption? Do you like to work on-site in a variety of business environments, leading teams through high impact projects that use the newest data analytic technologies? Would you like a career path that enables you to progress with the rapid adoption of cloud computing? At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements involve emerging technologies like AI, IoT, and Data Analytics. This role will specifically focus on Data and Analytics capabilities and helping our customers and partners to remove the constraints that prevent our customers from leveraging their data to develop business insights. At AWS, we are hiring the best Data / Analytics cloud computing consultants, who can help our clients and partners derive business value from Data in the cloud. Our consultants will collaborate with partner and client teams to deliver proof-of-concept projects, conduct topical workshops, and lead implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, batch/real-time data processing, Data and Business intelligence. This role will specifically focus on Data processing capabilities and helping our customers and partners to remove the constraints that prevent our customers from leveraging their data to develop business insights. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Amazon Elastic Compute Cloud (EC2), Amazon Data Pipeline, S3, DynamoDB NoSQL, Relational Database Service (RDS), Elastic Map Reduce (EMR) and Amazon Redshift. - Solutions - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, creating consulting proposals and creating packaged Data & Analytics service offerings. - Delivery - Engagements include short on-site projects proving the use of AWS services to support new distributed computing solutions that often span private cloud and public cloud services. Engagements will include migration of existing applications and development of new applications using AWS cloud services. - Insights - Work with AWS engineering and support teams to convey partner and customer needs and feedback as input to technology roadmaps. Share real world implementation challenges and recommend new capabilities that would simplify adoption and drive greater value from use of AWS cloud services. - Push the envelope – Cloud computing is reducing the historical “IT constraint” on businesses. Imagine bold possibilities and work with our clients and partners to find innovative new ways to satisfy business needs through Data / Business Intelligence cloud computing. Amazon aims to be the most customer centric company on earth. Amazon Web Services (AWS) provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers critical applications for hundreds of thousands of businesses in 190 countries around the world.

Looking for a career at a company that seeks to be Earth’s most customer-centric company? If so, meet Amazon. Over the past 20 years, Amazon has reinvented on behalf of the consumer and has become the largest internet retailer and marketplace in the world with over $100 billion in revenue globally. Businesses buy more than $1 trillion of everything from staples to DNA sequencers in the US alone. Launched in 2015, Amazon Business aims to reinvent the complicated world of workplace procurement and do for offices, hospitals, schools, and government agencies what Amazon.com did for home shoppers—make buying easier, faster, and smarter. Amazon is reinventing on behalf of the business customer and focused on building the largest and most innovative Business-to-Business (B2B) marketplace in the world, and we are recruiting to make this vision a reality within the Amazon Business Payments (ABP) Organization, to make the customer’s procure-to-pay experience delightful. The Role ABP is looking for a UX/UI Designer who will help create product experiences for customers that not only feel good, but also look good. As part of the Amazon Business Payments team, you will act as the single threaded UX leader for credit payment products and will handle projects from A (concept) to Z (shipping and iteration) with little directions. You have a mastery of fundamental visual and interaction design disciplines and principals and have an exceptional eye for pixel-perfect detail. You will be working with the team of product managers and engineers to create, deliver, and test the right experience for a given credit payment product. Responsibilities You will raise the bar on the user experience delivered by our payment products by continuously obsessing over the customer’s needs and innovating on behalf of our customers. You will focus on the customer lifecycle starting from acquisition till product usage and optimize the payment experience at each customer interaction. You will partner with our marketing, product management, global engineering, operational investigations and Finance teams to collaborate and deliver payment experiences including: . Contributing to the development and enhancement of credit products and features. . Owning the full design experience - from visual assets to interactions - for this specific product. . Working with the Amazon Business and Payment teams to simplify the user experience flows for our customers while creating best-in-class visuals/UI. . Develop A/B tests to disconfirm beliefs about existing payment experiences. . Defining, tracking, reviewing and reporting of key metrics to monitor health & performance of the payment user experience. . Embrace best practices from internal teams and industry to continuously invent on behalf of our customers.

Amazon is looking for an Audio QA Engineer to join an exciting new project team working to build a completely new best in class consumer product. We are an innovative, cross-platform, customer-obsessed team, working on big-bets in an innovative environment. Our organization rewards intellectual curiosity while maintaining the direct to market product focus. Our mission is to invent and simplify large-scale solutions and bring the future to Amazon customers. As a Quality Assurance Engineer - Audio, you will work towards the goal to launch a new class consumer electronic device with solid stability and good audio performance. You will work with firmware engineers, SW quality assurance engineers, audio design engineers and hardware engineers to make sure audio performance meet the specs from the product management team. In this role, you will be responsible for the audio testing validation and automation. The candidate will be responsible for the end-to-end testing of the full audio signal chain of our device and in the future validation of audio subsystem as well. - - Produce test plan and set up the objective testing system with the engineering team. - Write audio testing automation code for objective audio testing - Define the testing criteria based on the business requirement documentation (BRD) with product and engineering teams. - Organize subjective testing UX studies with the UX team. - Regression test audio features after each SW/FW release. - Analyze the testing results and file bugs for tracking issues found.

Amazon is looking for a Senior Beta Program Manager to join an exciting new project team working to build a completely new best in class consumer product. We are an innovative, cross-platform, customer-obsessed team, working on big-bets in an innovative environment. Our organization rewards intellectual curiosity while maintaining the direct to market product focus. Our mission is to invent and simplify large-scale solutions and bring the future to Amazon customers. We are inventing the future of consumer electronics products and are looking for a Senior Beta Program Manager who can drive the creation and development of programs to validate the customer experience during the product development cycle. You will work with end users and a variety of internal teams to represent the voice of the customer as well as be a “hands on” contributor to plan and execute beta programs, analyze and report customer feedback, and support and troubleshoot issues to keep the user feedback flowing. Along the way, you’ll need to identify opportunity for improvements and put processes and tools in place to support continual scaling of our beta program. You will be asked to track program progress, communicate status and results, and independently drive issues to resolution. Customer obsession, cross-team coordination, project management, analytical skills, and an ability to learn and understand new technology are essential. This position demands an ability to prioritize and multitask. The ideal candidate will have experience with project management, user insights, survey tools/analytics, and will be excited to influence the customer experience of new products. You will also have need to have great people skills, experience working with cross-functional teams, and be willing and able to ‘roll your sleeves up’ and get the job done. Key Responsibilities: - Create, manage, and scale beta programs from the ground up for a new product and iterate/improve with each new beta cycle. - Recruit beta participants, organize onboarding, execute robust programs, and drive customer feedback. - Perform statistical analysis to identify data trends, diagnose product pain-points, and calculate KPIs leveraging survey tools, such as Qualtrics, Excel, and more advanced statistical packages. - Deliver key insights to leadership in a timely and effective manner. - Independently cross-train and learn best practices for beta program development. - Be an expert in product features and have a robust understanding of roadmap/prioritization to best engage with participants during interactions. - Work with cross-functional teams in a highly collaborative environment and advocate for the best customer experience.

The Developer Tools organization within Amazon Web Services (AWS) at Amazon is looking for a talented Software Development Engineer to join the Quilt team. Our team owns the software and systems that help Amazon’s millions of internal hosts to be automatically patched with the latest security updates to keep them current and secured. Our systems make it possible for every system at Amazon to be patched without having to jeopardize the availability our customers expect. We deliver the technology that powers fully automated patching! We are looking for developers who are passionate about making our hosts secure without service owners' intervention. Builder Tools owns and builds every aspect of our products from the UI and external APIs down to the backend services and databases. These teams specifically own the software and systems that help Amazon’s massive developer community turn revolutionary ideas into code running on production servers. Quilt makes it possible for every service at Amazon to rapidly update their hosts without ever having to take an outage. With a few mouse clicks, or a fully automated continuous deployment workflow, Quilt manages the host security to allow Amazon engineers to focus on their services, code changes and new features to the customer, all because of the magic we provide. What we do makes a difference. If you have what we’re looking for come join a strong team in a highly visible organization. You will have a significant impact on Amazon's massively distributed software development environment and help us to build the best continuous deployment and fleet management system in the world.

Amazon.com is looking for best-in-class Network Engineers to help deploy, scale and automate one of the world’s largest and complex networks. With Amazon Web Services, our goal is to become “The Infrastructure Platform” to the world. Our customers demand the highest quality and reliability for their services. We are expanding at a tremendous rate it is our responsibility to maintain quality and reliability while developing innovative ways to automate the scaling of our network. As a Network Engineer working within AWS Infrastructure you will: - Be responsible for automation of deploying network infrastructure across all of our network fabrics that supports the Amazon Retail Service, Kindle, Payments and multiple AWS services. - Deploy, scale and automate our network across multiple global datacenters. This includes existing footprints and greenfield locations. - Drive scaling of current network designs to meet the demand of our customers. - Create simple, repetitive deployment processes that increase both velocity and quality. - Work closely with our internal customers on designs/solutions; bringing those designs/solutions from concept to production. - Create and update our network standards and ensure that the network is deployed to these standards. - Create and implement changes on the network. - Automate workflow and execution of deployments on a global scale - Work closely with our automation teams in transitioning and defining new tools that allow us to scale at unprecedented volume. Our ideal candidate has a proven record of building automated solutions, is highly autonomous, possesses strong written and verbal communication skills, strong project management and time management skills and has a successful track record of designing simple, scalable solutions and troubleshooting complex network problems and delivering innovative solutions. The desire and ability to work in a fast paced, collaborative environment is essential. Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.

Amazon.com is looking for best-in-class Network Engineers to help deploy, scale and automate one of the world’s largest and complex networks. With Amazon Web Services, our goal is to become “The Infrastructure Platform” to the world. Our customers demand the highest quality and reliability for their services. We are expanding at a tremendous rate it is our responsibility to maintain quality and reliability while developing innovative ways to automate the scaling of our network. As a Network Engineer working within AWS Infrastructure you will: - Be responsible for automation of deploying network infrastructure across all of our network fabrics that supports the Amazon Retail Service, Kindle, Payments and multiple AWS services. - Deploy, scale and automate our network across multiple global datacenters. This includes existing footprints and greenfield locations. - Drive scaling of current network designs to meet the demand of our customers. - Create simple, repetitive deployment processes that increase both velocity and quality. - Work closely with our internal customers on designs/solutions; bringing those designs/solutions from concept to production. - Create and update our network standards and ensure that the network is deployed to these standards. - Create and implement changes on the network. - Automate workflow and execution of deployments on a global scale - Work closely with our automation teams in transitioning and defining new tools that allow us to scale at unprecedented volume. Our ideal candidate has a proven record of building automated solutions, is highly autonomous, possesses strong written and verbal communication skills, strong project management and time management skills and has a successful track record of designing simple, scalable solutions and troubleshooting complex network problems and delivering innovative solutions. The desire and ability to work in a fast paced, collaborative environment is essential. Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.

Are you interested in shaping the future of movies, television, and digital video? Do you want to define the next generation of how and what Amazon customers are watching globally? We are a growing team with an ambitious charter and need your passion, innovative ideas, and creativity to help take this service to new heights. As a Sr. Product Manager--Technical for Video Central, you will be responsible for defining and building products that empower Amazon Video providers worldwide, ranging from independent filmmakers to large studios such as Walt Disney Studios and Warner Bros. You will work cross-functionally with engineering, project management, design, operations, finance, legal, business development, customer service, content acquisition, operations, and executive teams to bring products to market, develop and grow business opportunities, and enhance our customer experience for video providers around the world. A successful candidate will be able to articulate and drive a strategic vision, work cross-functionally across key stakeholders, and partner with dedicated engineering teams to deliver scalable solutions that grow selection for Amazon Video customers. He or she will have a consistent track record in taking on end-to-end ownership and successfully delivering results in a fast-paced and dynamic business environment. This leader must have strong written and verbal communications skills, as well as an entrepreneurial spirit, the ability to influence others, passion for digital video, and strong cross-functional leadership.

Software Developer - Amazon Web Services - Boston, Massachusetts Do you want to shape the future of cloud storage? Are you passionate about building the next generation distributed file system? Do you want to grow and be part of a team that is building a service used by thousands of customers everyday? Come join the Elastic File System (EFS) engineering team in Seaport, Boston as we revolutionize the world of highly available, scalable file systems. Elastic File System (EFS) is the newest AWS storage service poised to grow to hundreds of thousands of servers, exabytes of storage, and trillions of files; and we’re just getting started. EFS is a unique service that provides low-latency, shared file system access to tens of thousands of EC2 instances and on-premises datacenter applications. It is a distributed, highly-available, durable file storage service that is fully elastic, growing and shrinking as required. If you have the files, we have the storage! Embark on a journey with us to build a distributed file storage service that can scale without limits. We need your passion, innovative ideas, and creativity to help take the service to new heights. This is an opportunity to shape the future of EFS. Our mission is to transform the way the world uses file storage. Listen to how we are enabling our customers to change the world - https://www.youtube.com/watch?v=hzialJerb5o .

Are you interested in building new photos experiences that your friends and family will love? Are you interested in Machine Learning? Do you obsess over details in order to improve the customer experience? Do you want to impact the personal photo/video space? If this piqued your interest, you should join our team! What you will do here You will join a team that owns backend development of new personalized photo and video experiences. You will solve ambiguous problems working closely with the Product Managers to define delightful customer experiences centered around photo curation. We are building features powered by advanced AI that will delight customers We are building features in AWS. We are growing the Amazon Photos product and need your expertise to ensure our software is designed to be highly performant, reliable, and maintainable. In this role you will: - Have a test-first mentality to prevent issues from affecting customers. - Write maintainable code, perform peer code-reviews, write technical design documents, and participate in technical design discussions. - Work in a team environment to collaborate and strive for consensus by making data-driven decisions. - Design, develop, and deploy custom scalable components. - Work in an Agile environment to continuously deliver high quality software. - Have a high attention to detail, working closely with business and technical stakeholders to drive measurable results. What you will get from us: We are a team that cares about your work-life harmony, while challenging you to solve ambiguous problems at Amazon scale. You will be part of a strong team in a fast-paced, start-up environment where agile development is embraced and innovation is encouraged. You will get support and resources from some of the smartest people in the industry to continue your personal and professional growth. You will build software that delights customers.

Are you interested in shaping the future of movies, television, and digital video? Do you want to define the next generation of how and what Amazon customers are watching globally? We are a growing team with an ambitious charter and need your passion, innovative ideas, and creativity to help take this service to new heights. As a Sr. Product Manager - Tech , you will be responsible for defining and building the core products that support our ad-supported video-on-demand services (AVOD). You will scope on new opportunities to streamline operations and tech design to help scale the product and improve the ad-viewing Customer experience. You will also be responsible for building products that will empower Amazon Video providers worldwide, ranging from independent filmmakers to large studios such as Walt Disney Studios and Warner Bros. You will work cross-functionally with engineering, project management, design, operations, finance, legal, business development, customer service, content acquisition, operations, and executive teams to bring products to market, develop and grow new business opportunities. A successful candidate will be able to articulate and drive a strategic vision, work cross-functionally across key stakeholders, and partner with dedicated engineering teams to deliver scalable solutions that grow selection for Amazon Video customers. He or she will have a consistent track record in taking on end-to-end ownership and successfully delivering results in a fast-paced and dynamic business environment. This leader must have strong written and verbal communications skills, as well as an entrepreneurial spirit, the ability to influence others, passion for digital video, and strong cross-functional leadership.

We are looking for an innovative UX designer to invent groundbreaking experiences for some of the most meaningful purchases customers make - those for their home. The Home Innovation Team (HIT) is on a mission to redefine how customers purchase products for their home, and you will be working with a group of seasoned engineers, product managers, designers and research scientists that are on the front-line of Amazon’s innovations - machine learning, big data, and augmented reality. Have you ever shopped for furniture or decor? How many trips to the store it took you? If so, you know how hard it is to find what you need or like and then decide if it matches in style and fits in size. And you encounter this problem both online and at physical stores. Today’s purchase process requires you to spend lots of time, multiple store trips, settle for whatever you find available and then spend even more time to return the product if you discover at home that it does not fit. We are building the technology and experiences that will eliminate such problems. As with every project within Amazon, we work backwards from our customer's needs and the challenges they have. Our team will tackle some of the toughest problems in retail: · Streamline the purchase experience for large items such as furniture and remove all stress in the process. It will be as easy as purchasing a book. · Inspire our customers with beautiful experiences and relevant products. · Provide expert advice and information that help guide our customers in their decision making process. · Improve the home good shopping experience by creating new relevant ways to search and browse. · Develop personalized experiences and intelligently help customers find useful products that match their preferences and styles. · Allow customers to develop a personal style and learn from that to improve and customize their shopping experience. We are a tightly net group that share our experiences and help each other succeed. We love hard problems and like to move fast in a growing and changing environment. We use data to guide our decisions and we always push the technology and process boundaries of what is feasible on behalf of our customers. The most successful members of our team are obsessed with helping our customers in creative ways, and bring clarity to ambiguity through data driven experimentation. If that sounds like an environment you like, join us. Key responsibilities will include: · Building new features that give customers the confidence to purchase Home products online. · Responsibly and effectively advocate for the customer, fostering a shared understanding of the customer-centric intersection between design, content, business and marketing values. · Create sketches, flows, wireframes, prototypes, and high fidelity mockups as needed to effectively conceptualize and communicate detailed experiences. · Assess and optimize the effectiveness of new and existing features by actively participating in usability testing and user research, and interpreting analytic data. · Present design work to teams and leadership for review and feedback. To succeed, you will need to be creative, curious, comfortable working in new and ambiguous environments, and passionate about customers and show a strong bias for action to deliver results. You will have a consistent track record of developing new ideas and product concepts, shipping on time, and running mature products. You will get to work side by side with a talented team of product managers, UX designers, and software developers in an agile environment. If you are entrepreneurial and like to move fast and innovate on behalf of our customers in an emerging, potentially groundbreaking space for Amazon, we would love to hear from you!

At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, HPC, Batch/Real-time Data processing, MPP systems, Data Analytics and Business Intelligence. This role will specifically focus on large scale data warehousing and database migration capabilities. The role is to help our customers and partners to eliminate technical and economic constraints from their legacy systems and help them to leverage their data to develop business insights. AWS Professional Services engage in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base and are obsessed about customer success. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Redshift, Database Migration Service, Glue, EMR, Elastic Compute Cloud (EC2), S3, Relational Database Service (RDS)/aurora, and Amazon Kinesis. - Solution - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, generating consulting proposals, contributing to internal Area of Depth (AoD) programs, authoring AWS Data Analytics best practice blogs/whitepaper and creating packaged data service offerings. - Delivery - Engagements include short on-site projects to assess and optimize customer’s Amazon Redshift implementations and helping customers to migrate from their existing on-premises data warehouses using other databases to Amazon Redshift.

At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, HPC, Batch/Real-time Data processing, MPP systems, Data Analytics and Business Intelligence. This role will specifically focus on large scale data warehousing and database migration capabilities. The role is to help our customers and partners to eliminate technical and economic constraints from their legacy systems and help them to leverage their data to develop business insights. AWS Professional Services engage in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base and are obsessed about customer success. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Redshift, Database Migration Service, Glue, EMR, Elastic Compute Cloud (EC2), S3, Relational Database Service (RDS)/aurora, and Amazon Kinesis. - Solution - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, generating consulting proposals, contributing to internal Area of Depth (AoD) programs, authoring AWS Data Analytics best practice blogs/whitepaper and creating packaged data service offerings. - Delivery - Engagements include short on-site projects to assess and optimize customer’s Amazon Redshift implementations and helping customers to migrate from their existing on-premises data warehouses using other databases to Amazon Redshift.

At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, HPC, Batch/Real-time Data processing, MPP systems, Data Analytics and Business Intelligence. This role will specifically focus on large scale data warehousing and database migration capabilities. The role is to help our customers and partners to eliminate technical and economic constraints from their legacy systems and help them to leverage their data to develop business insights. AWS Professional Services engage in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base and are obsessed about customer success. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Redshift, Database Migration Service, Glue, EMR, Elastic Compute Cloud (EC2), S3, Relational Database Service (RDS)/aurora, and Amazon Kinesis. - Solution - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, generating consulting proposals, contributing to internal Area of Depth (AoD) programs, authoring AWS Data Analytics best practice blogs/whitepaper and creating packaged data service offerings. - Delivery - Engagements include short on-site projects to assess and optimize customer’s Amazon Redshift implementations and helping customers to migrate from their existing on-premises data warehouses using other databases to Amazon Redshift.

At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, HPC, Batch/Real-time Data processing, MPP systems, Data Analytics and Business Intelligence. This role will specifically focus on large scale data warehousing and database migration capabilities. The role is to help our customers and partners to eliminate technical and economic constraints from their legacy systems and help them to leverage their data to develop business insights. AWS Professional Services engage in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base and are obsessed about customer success. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Redshift, Database Migration Service, Glue, EMR, Elastic Compute Cloud (EC2), S3, Relational Database Service (RDS)/aurora, and Amazon Kinesis. - Solution - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, generating consulting proposals, contributing to internal Area of Depth (AoD) programs, authoring AWS Data Analytics best practice blogs/whitepaper and creating packaged data service offerings. - Delivery - Engagements include short on-site projects to assess and optimize customer’s Amazon Redshift implementations and helping customers to migrate from their existing on-premises data warehouses using other databases to Amazon Redshift.

At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, HPC, Batch/Real-time Data processing, MPP systems, Data Analytics and Business Intelligence. This role will specifically focus on large scale data warehousing and database migration capabilities. The role is to help our customers and partners to eliminate technical and economic constraints from their legacy systems and help them to leverage their data to develop business insights. AWS Professional Services engage in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base and are obsessed about customer success. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Redshift, Database Migration Service, Glue, EMR, Elastic Compute Cloud (EC2), S3, Relational Database Service (RDS)/aurora, and Amazon Kinesis. - Solution - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, generating consulting proposals, contributing to internal Area of Depth (AoD) programs, authoring AWS Data Analytics best practice blogs/whitepaper and creating packaged data service offerings. - Delivery - Engagements include short on-site projects to assess and optimize customer’s Amazon Redshift implementations and helping customers to migrate from their existing on-premises data warehouses using other databases to Amazon Redshift.

At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, HPC, Batch/Real-time Data processing, MPP systems, Data Analytics and Business Intelligence. This role will specifically focus on large scale data warehousing and database migration capabilities. The role is to help our customers and partners to eliminate technical and economic constraints from their legacy systems and help them to leverage their data to develop business insights. AWS Professional Services engage in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base and are obsessed about customer success. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Redshift, Database Migration Service, Glue, EMR, Elastic Compute Cloud (EC2), S3, Relational Database Service (RDS)/aurora, and Amazon Kinesis. - Solution - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, generating consulting proposals, contributing to internal Area of Depth (AoD) programs, authoring AWS Data Analytics best practice blogs/whitepaper and creating packaged data service offerings. - Delivery - Engagements include short on-site projects to assess and optimize customer’s Amazon Redshift implementations and helping customers to migrate from their existing on-premises data warehouses using other databases to Amazon Redshift.

At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, HPC, Batch/Real-time Data processing, MPP systems, Data Analytics and Business Intelligence. This role will specifically focus on large scale data warehousing and database migration capabilities. The role is to help our customers and partners to eliminate technical and economic constraints from their legacy systems and help them to leverage their data to develop business insights. AWS Professional Services engage in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base and are obsessed about customer success. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Redshift, Database Migration Service, Glue, EMR, Elastic Compute Cloud (EC2), S3, Relational Database Service (RDS)/aurora, and Amazon Kinesis. - Solution - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, generating consulting proposals, contributing to internal Area of Depth (AoD) programs, authoring AWS Data Analytics best practice blogs/whitepaper and creating packaged data service offerings. - Delivery - Engagements include short on-site projects to assess and optimize customer’s Amazon Redshift implementations and helping customers to migrate from their existing on-premises data warehouses using other databases to Amazon Redshift.

At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, HPC, Batch/Real-time Data processing, MPP systems, Data Analytics and Business Intelligence. This role will specifically focus on large scale data warehousing and database migration capabilities. The role is to help our customers and partners to eliminate technical and economic constraints from their legacy systems and help them to leverage their data to develop business insights. AWS Professional Services engage in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base and are obsessed about customer success. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Redshift, Database Migration Service, Glue, EMR, Elastic Compute Cloud (EC2), S3, Relational Database Service (RDS)/aurora, and Amazon Kinesis. - Solution - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, generating consulting proposals, contributing to internal Area of Depth (AoD) programs, authoring AWS Data Analytics best practice blogs/whitepaper and creating packaged data service offerings. - Delivery - Engagements include short on-site projects to assess and optimize customer’s Amazon Redshift implementations and helping customers to migrate from their existing on-premises data warehouses using other databases to Amazon Redshift.

At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, HPC, Batch/Real-time Data processing, MPP systems, Data Analytics and Business Intelligence. This role will specifically focus on large scale data warehousing and database migration capabilities. The role is to help our customers and partners to eliminate technical and economic constraints from their legacy systems and help them to leverage their data to develop business insights. AWS Professional Services engage in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base and are obsessed about customer success. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Redshift, Database Migration Service, Glue, EMR, Elastic Compute Cloud (EC2), S3, Relational Database Service (RDS)/aurora, and Amazon Kinesis. - Solution - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, generating consulting proposals, contributing to internal Area of Depth (AoD) programs, authoring AWS Data Analytics best practice blogs/whitepaper and creating packaged data service offerings. - Delivery - Engagements include short on-site projects to assess and optimize customer’s Amazon Redshift implementations and helping customers to migrate from their existing on-premises data warehouses using other databases to Amazon Redshift.

At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, HPC, Batch/Real-time Data processing, MPP systems, Data Analytics and Business Intelligence. This role will specifically focus on large scale data warehousing and database migration capabilities. The role is to help our customers and partners to eliminate technical and economic constraints from their legacy systems and help them to leverage their data to develop business insights. AWS Professional Services engage in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base and are obsessed about customer success. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Redshift, Database Migration Service, Glue, EMR, Elastic Compute Cloud (EC2), S3, Relational Database Service (RDS)/aurora, and Amazon Kinesis. - Solution - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, generating consulting proposals, contributing to internal Area of Depth (AoD) programs, authoring AWS Data Analytics best practice blogs/whitepaper and creating packaged data service offerings. - Delivery - Engagements include short on-site projects to assess and optimize customer’s Amazon Redshift implementations and helping customers to migrate from their existing on-premises data warehouses using other databases to Amazon Redshift.

At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, HPC, Batch/Real-time Data processing, MPP systems, Data Analytics and Business Intelligence. This role will specifically focus on large scale data warehousing and database migration capabilities. The role is to help our customers and partners to eliminate technical and economic constraints from their legacy systems and help them to leverage their data to develop business insights. AWS Professional Services engage in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base and are obsessed about customer success. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Redshift, Database Migration Service, Glue, EMR, Elastic Compute Cloud (EC2), S3, Relational Database Service (RDS)/aurora, and Amazon Kinesis. - Solution - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, generating consulting proposals, contributing to internal Area of Depth (AoD) programs, authoring AWS Data Analytics best practice blogs/whitepaper and creating packaged data service offerings. - Delivery - Engagements include short on-site projects to assess and optimize customer’s Amazon Redshift implementations and helping customers to migrate from their existing on-premises data warehouses using other databases to Amazon Redshift.

At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, HPC, Batch/Real-time Data processing, MPP systems, Data Analytics and Business Intelligence. This role will specifically focus on large scale data warehousing and database migration capabilities. The role is to help our customers and partners to eliminate technical and economic constraints from their legacy systems and help them to leverage their data to develop business insights. AWS Professional Services engage in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base and are obsessed about customer success. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Redshift, Database Migration Service, Glue, EMR, Elastic Compute Cloud (EC2), S3, Relational Database Service (RDS)/aurora, and Amazon Kinesis. - Solution - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, generating consulting proposals, contributing to internal Area of Depth (AoD) programs, authoring AWS Data Analytics best practice blogs/whitepaper and creating packaged data service offerings. - Delivery - Engagements include short on-site projects to assess and optimize customer’s Amazon Redshift implementations and helping customers to migrate from their existing on-premises data warehouses using other databases to Amazon Redshift.

At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, HPC, Batch/Real-time Data processing, MPP systems, Data Analytics and Business Intelligence. This role will specifically focus on large scale data warehousing and database migration capabilities. The role is to help our customers and partners to eliminate technical and economic constraints from their legacy systems and help them to leverage their data to develop business insights. AWS Professional Services engage in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base and are obsessed about customer success. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Redshift, Database Migration Service, Glue, EMR, Elastic Compute Cloud (EC2), S3, Relational Database Service (RDS)/aurora, and Amazon Kinesis. - Solution - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, generating consulting proposals, contributing to internal Area of Depth (AoD) programs, authoring AWS Data Analytics best practice blogs/whitepaper and creating packaged data service offerings. - Delivery - Engagements include short on-site projects to assess and optimize customer’s Amazon Redshift implementations and helping customers to migrate from their existing on-premises data warehouses using other databases to Amazon Redshift.

Software Developer - Amazon Web Services - Boston, MA Do you want to shape the future of cloud storage? Are you passionate about building the next generation distributed file system? Do you want to grow and be part of a team that is building a service used by thousands of customers everyday? Come join the Elastic File System (EFS) engineering team as we revolutionize the world of highly available, scalable file systems. Elastic File System (EFS) is the newest AWS storage service poised to grow to hundreds of thousands of servers, exabytes of storage, and trillions of files; and we’re just getting started. EFS is a unique service that provides low-latency, shared file system access to tens of thousands of EC2 instances and on-premises datacenter applications. It is a distributed, highly-available, durable file storage service that is fully elastic, growing and shrinking as required. If you have the files, we have the storage! Embark on a journey with us to build a distributed file storage service that can scale without limits. We need your passion, innovative ideas, and creativity to help take the service to new heights. This is an opportunity to shape the future of EFS. Our mission is to transform the way the world uses file storage. Listen to how we are enabling our customers to change the world - https://www.youtube.com/watch?v=hzialJerb5o .

Amazon is where innovation, risks, and ideas are celebrated. We are builders. We try new things and dream big dreams. At Amazon Web Services (AWS), we are inventing the future of cloud computing. AWS is where the cloud first came to life. Now we’re inventing for the decades ahead. It is still Day 1 for us, and we are looking for curious people to be part of our diverse teams of thinkers, testers, and doers. Come join us and work with the latest cloud computing technologies that enable our customers to do more with their technology and change the world in their respective industries. We are looking for Solutions Architects to join our AWS team in San Francisco. We need a variety of skills to help shape and deliver on our cloud strategy for our global customers and partners. In AWS, you’ll find teams of focused builders whose ability to invent is only limited by their imaginations. As a trusted customer advocate, the solutions architect will help organizations understand advanced cloud-based solutions and how to migrate existing workloads to the cloud. You will have the opportunity to help shape and execute a strategy to build mind share and broad use of AWS within organizations ranging from new start-ups to large enterprise customers. The ability to link technology with measurable business value is critical to a solutions architect. Amazon.com is an Equal Opportunity Employer – Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Do you want to help shape the future of compute for the Amazon Web Services cloud? The EC2 Enterprise team is responsible for tackling tough problems faced by enterprise customers via cloud-based solutions. The team uses cutting-edge technologies to develop large-scale platforms to help customers optimally run their business. We are hiring Software Development Engineers to make Amazon Elastic Compute Cloud (EC2) the best place to run enterprise class workloads. As part of our team you will help build next generation services that simplifies how our customers and partners configure and manage their Windows and Linux workloads on the cloud. You will closely work with various pre-release Amazon technologies and build services that handles large scale, highly available distributed systems. We are looking for Senior Software Development Engineers who are passionate about working in cutting edge technologies, bring deep technical knowledge, experience with distributed systems to drive technical design and implement end-end solutions. The ideal candidate for this position is an experienced software engineer excited to work on cloud scale software and a proven track record of architecting and building software in Java/Linux and/or C#/Windows. As a Senior Software Engineer for EC2 Windows, you will: - Contribute to the vision, goals, and technical strategy in alignment with customer needs and market opportunities. - Lead the team in building a best-in-class technology platform. - Work with an exceptional group of engineers with a strong team-oriented culture. - Provide technical leadership in driving the design and implementation of extremely large distributed systems as well as areas related to performance and availability improvement. - Mentor the professional development of junior members of the team. - Continually challenge what exists and explore what should be changed to best meet evolving customer needs. - Possess expert knowledge in engineering best practices. Amazon is an Equal Opportunity Employer – Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age.”

The AWS Identity User Experience team focuses on making it easier for AWS customers to manage their software solutions through robust authentication and authorization mechanisms. We provide web-based experiences for customers to define who has access to their AWS resources (Identity & Access Management), integrate and manage their directories of users and devices (Directory Service), and run large hierarchical data stores (Cloud Directory). Our mission is to create extraordinary user interfaces that empower experienced developers to have fine-grained control over their environments and security, while being simple enough for less-technical users to ensure they are protecting their data and systems utilizing best-practices. As a Sr. Frontend Engineer, you will be the technical leader developing improvements across multiple AWS consoles. You will work closely with a talented team of engineers, product managers, and UX designers to build browser-based user experiences that are easy to understand and improve the security of AWS customers. Every day, you will be coding in both Java and Javascript, as well as using many AWS products. You will also drive the operational excellence of the services owned by your team, including continuously improve the performance and security of the application. If you have a passion for architecting and building web applications, are interested in upcoming web standards, and care about making it easier to secure data and applications of all different sizes and types, we'd love to talk to you!

At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, HPC, Batch/Real-time Data processing, MPP systems, Data Analytics and Business Intelligence. This role will specifically focus on large scale data warehousing and database migration capabilities. The role is to help our customers and partners to eliminate technical and economic constraints from their legacy systems and help them to leverage their data to develop business insights. AWS Professional Services engage in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base and are obsessed about customer success. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Redshift, Database Migration Service, Glue, EMR, Elastic Compute Cloud (EC2), S3, Relational Database Service (RDS)/aurora, and Amazon Kinesis. - Solution - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, generating consulting proposals, contributing to internal Area of Depth (AoD) programs, authoring AWS Data Analytics best practice blogs/whitepaper and creating packaged data service offerings. - Delivery - Engagements include short on-site projects to assess and optimize customer’s Amazon Redshift implementations and helping customers to migrate from their existing on-premises data warehouses using other databases to Amazon Redshift.

At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, HPC, Batch/Real-time Data processing, MPP systems, Data Analytics and Business Intelligence. This role will specifically focus on large scale data warehousing and database migration capabilities. The role is to help our customers and partners to eliminate technical and economic constraints from their legacy systems and help them to leverage their data to develop business insights. AWS Professional Services engage in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base and are obsessed about customer success. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Redshift, Database Migration Service, Glue, EMR, Elastic Compute Cloud (EC2), S3, Relational Database Service (RDS)/aurora, and Amazon Kinesis. - Solution - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, generating consulting proposals, contributing to internal Area of Depth (AoD) programs, authoring AWS Data Analytics best practice blogs/whitepaper and creating packaged data service offerings. - Delivery - Engagements include short on-site projects to assess and optimize customer’s Amazon Redshift implementations and helping customers to migrate from their existing on-premises data warehouses using other databases to Amazon Redshift.

At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, HPC, Batch/Real-time Data processing, MPP systems, Data Analytics and Business Intelligence. This role will specifically focus on large scale data warehousing and database migration capabilities. The role is to help our customers and partners to eliminate technical and economic constraints from their legacy systems and help them to leverage their data to develop business insights. AWS Professional Services engage in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base and are obsessed about customer success. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Redshift, Database Migration Service, Glue, EMR, Elastic Compute Cloud (EC2), S3, Relational Database Service (RDS)/aurora, and Amazon Kinesis. - Solution - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, generating consulting proposals, contributing to internal Area of Depth (AoD) programs, authoring AWS Data Analytics best practice blogs/whitepaper and creating packaged data service offerings. - Delivery - Engagements include short on-site projects to assess and optimize customer’s Amazon Redshift implementations and helping customers to migrate from their existing on-premises data warehouses using other databases to Amazon Redshift.

At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, HPC, Batch/Real-time Data processing, MPP systems, Data Analytics and Business Intelligence. This role will specifically focus on large scale data warehousing and database migration capabilities. The role is to help our customers and partners to eliminate technical and economic constraints from their legacy systems and help them to leverage their data to develop business insights. AWS Professional Services engage in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base and are obsessed about customer success. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Redshift, Database Migration Service, Glue, EMR, Elastic Compute Cloud (EC2), S3, Relational Database Service (RDS)/aurora, and Amazon Kinesis. - Solution - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, generating consulting proposals, contributing to internal Area of Depth (AoD) programs, authoring AWS Data Analytics best practice blogs/whitepaper and creating packaged data service offerings. - Delivery - Engagements include short on-site projects to assess and optimize customer’s Amazon Redshift implementations and helping customers to migrate from their existing on-premises data warehouses using other databases to Amazon Redshift.

At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, HPC, Batch/Real-time Data processing, MPP systems, Data Analytics and Business Intelligence. This role will specifically focus on large scale data warehousing and database migration capabilities. The role is to help our customers and partners to eliminate technical and economic constraints from their legacy systems and help them to leverage their data to develop business insights. AWS Professional Services engage in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base and are obsessed about customer success. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Redshift, Database Migration Service, Glue, EMR, Elastic Compute Cloud (EC2), S3, Relational Database Service (RDS)/aurora, and Amazon Kinesis. - Solution - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, generating consulting proposals, contributing to internal Area of Depth (AoD) programs, authoring AWS Data Analytics best practice blogs/whitepaper and creating packaged data service offerings. - Delivery - Engagements include short on-site projects to assess and optimize customer’s Amazon Redshift implementations and helping customers to migrate from their existing on-premises data warehouses using other databases to Amazon Redshift.

At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, HPC, Batch/Real-time Data processing, MPP systems, Data Analytics and Business Intelligence. This role will specifically focus on large scale data warehousing and database migration capabilities. The role is to help our customers and partners to eliminate technical and economic constraints from their legacy systems and help them to leverage their data to develop business insights. AWS Professional Services engage in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base and are obsessed about customer success. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Redshift, Database Migration Service, Glue, EMR, Elastic Compute Cloud (EC2), S3, Relational Database Service (RDS)/aurora, and Amazon Kinesis. - Solution - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, generating consulting proposals, contributing to internal Area of Depth (AoD) programs, authoring AWS Data Analytics best practice blogs/whitepaper and creating packaged data service offerings. - Delivery - Engagements include short on-site projects to assess and optimize customer’s Amazon Redshift implementations and helping customers to migrate from their existing on-premises data warehouses using other databases to Amazon Redshift.

At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, HPC, Batch/Real-time Data processing, MPP systems, Data Analytics and Business Intelligence. This role will specifically focus on large scale data warehousing and database migration capabilities. The role is to help our customers and partners to eliminate technical and economic constraints from their legacy systems and help them to leverage their data to develop business insights. AWS Professional Services engage in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base and are obsessed about customer success. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs. Responsibilities include: - Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Redshift, Database Migration Service, Glue, EMR, Elastic Compute Cloud (EC2), S3, Relational Database Service (RDS)/aurora, and Amazon Kinesis. - Solution - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, generating consulting proposals, contributing to internal Area of Depth (AoD) programs, authoring AWS Data Analytics best practice blogs/whitepaper and creating packaged data service offerings. - Delivery - Engagements include short on-site projects to assess and optimize customer’s Amazon Redshift implementations and helping customers to migrate from their existing on-premises data warehouses using other databases to Amazon Redshift.