Amazon Redshift is looking for talented professionals with expertise and passion for query optimization and parallel and distributed execution engines to join the query processing team. We are interested in people who can conduct research and have a passion for software and system building, that is, smart people who get stuff done!
Joining the Amazon Redshift team gives you the opportunity to:
- Turning research results into world-class software products
- Work on a disruptive product that’s still in its early stages
- Solve challenging problems that will revolutionize storage layer of database computing in the cloud
- Build a custom storage engine for redshift database
- Work for a company that’s a recognized in the cloud computing space
In this role, you will have responsibility for:
- Own the design process, implementation, and verification of framework components leveraging standard software engineering methodologies
- Translating functional and technical requirements into detailed architecture and design
- Participating in code and design reviews to maintain our high development standards
- Working with other teams to deliver and operate large scale, distributed services in the cloud
- Overall system architecture, scalability, reliability, and performance
- Mentoring other engineers, defining our technical culture, and helping to build a fast-growing team
Amazon Web Services (AWS) provides companies of all sizes with an infrastructure web services platform in the cloud. With AWS, you can requisition compute power, storage, and other services – paying as you go for only the resources you need. Amazon Redshift is rapidly growing, fast and powerful, fully managed, petabyte-scale data warehouse service in the cloud. It enables customers to dramatically increase their query performance when reviewing virtually any size data set using the same SQL-based business intelligence tools they use today. They can launch a fully operational service with a few clicks for as low as under $1000 per terabyte per year. Amazon Redshift manages all the work needed to set up, operate, and scale a data warehouse, from provisioning capacity and installing software to monitoring and backing up the cluster, to applying patches and upgrades. By automating these labor-intensive tasks, Amazon Redshift enables customers to spend their time focusing on their data and business insights, rather than on procuring and managing infrastructure.