Amazon.com is looking for a highly motivated Network Engineering Manager to help build and scale one of the worlds largest networks.
With Amazon Web Services (http://aws.amazon.com), our goal is to become The Infrastructure Platform to the world. Our customers demand the highest quality and reliability for their services. As we expand at a tremendous rate across all of our services it is our responsibility to maintain that quality and reliability. We look for innovative ways to automate and scale our network as we expand, while driving complex issues to resolution.
As Network Engineering manager you will be responsible for leading a team of experienced engineers and will have ultimate responsibility for global, end-to-end delivery of one of the key areas of our network; including capacity management, implementation, automation, standards, process management and change control. At Amazon, we ask our technical leaders to be strong engineers who can dive deep and get involved in addition to being strong managers.
As a manager within the Networking team you will be expected to drive operational excellence in everything we do. This includes creating sane processes, procedures and automation to improve efficiency in our day-to-day tasks and projects. You will work closely on supporting our internal customers and ensuring that their needs and issues are being addressed.
Network Measurement As a Network Engineering manager you will be expected to drive quality into the metrics we report to assist us in focusing on the areas that give us the best ROI. This includes measurement of our project plans, build schedules, issues, and cycle times.
Performance Management/Team Health You will own all facets of performance and career management for the team. Regular one-on-one meetings with all team members are required. You will be expected to provide both technical and soft skill mentoring in order to maintain a well-rounded, world-class organization. This includes project management, quality audits and coordination of training sessions with senior-level engineers.
Incident/Change Management You will be integral to developing and improving incident and change management within the Networking space. Responsibilities include driving initiatives regarding improvements to existing tools & processes and providing feedback on new practices & procedures in order to scale with the rapid expansion of the Amazon platform and customer base.
Recruiting and Hiring You will take the lead in hiring quality personnel who not only fit the needs of the current organization but also will allow the team to scale with platform and service growth. You will coordinate with Amazon and external recruiting staff to evaluate potential candidates, participate in initial phone screens and provide relevant guidance and feedback during on-site interview loops. You will also be responsible for ensuring that proper training takes place for all new hires.
Bachelor’s Degree in a technology related field or equivalent experience to a Bachelor's degree based on 3 years professional experience for every 1 year of education
5+ years of relevant engineering experience
3+ years of management experience
Engineering experience in networking, large scale distributed systems or a related field.
Excellent verbal and written communication skills
Excellent analytical skills
Experience building and operating large-scale networks
Experience designing and operating mission critical systems
Experience in the application of network design, including knowledge of major routing protocols, topology design, network hardware, device configuration and traffic engineering.
Experience with project management, preferably Agile methodologies
Experience building production software applications or an understanding of software development, distributed systems and systems architecture
Exceptional customer relationship skills including the ability to discover the true requirements underlying feature requests, recommend alternative technical and business approaches, and lead engineering efforts to meet aggressive timelines with optimal solutions