Software Development Manager - AWS Networking

Employment Type



: Information Technology

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A wave of innovation is bringing sweeping changes to networking technology. Virtualization, unimaginable scale, hardware commoditization, and automation are revolutionizing network software. At Amazon Web Services (AWS), we leverage big data technologies and deep network analytics software to run one of the largest networks in the world. We push the boundaries of robustness, fault-tolerance and smart adaptive algorithms that can react intelligently to real-world events. This is your time to make history by building large-scale distributed software systems. We develop software at every level of the stack from front-end user interfaces to low-level embedded software and everything in between. We are a highly motivated, collaborative, and a fun-loving team of software developers who thrive on solving challenging problems.

At Amazon Web Services (AWS), we run one of the largest networks in the world. We are taking all the industry trends such as Software Defined Networking and IoT and blending them to build a critical foundation of cloud computing: The Network. Our goal is to become the infrastructure platform for the world; our team enables the network to function flawlessly. The unique opportunity to be the driving force of the future of the AWS Network begins with NDMS.

The AWS Network Data Model Service (NDMS) team is a collection of software services developed to manage, maintain and vend logical representation of the state of Amazon network. We are searching for a software development manager like you to lead a team building the suite of NDMS services and integrate them with the AWS Networking service ecosystem. We are a passionate team of developers with a customer-first approach, allowing us to fail fast and rapidly iterate.

Join us in our mission as we revolutionize software development for networking at scale.


· BS/MS in Computer Science or equivalent
· 10+ years of industry experience
· 5+ years of management experience
· Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
· Experience with large-scale multi-tiered systems and service-oriented architecture


· Experience building large scale systems on AWS
· Knowledge of Machine Learning
· Solid knowledge of computer science fundamentals.

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