Software Development Engineer, ML Navigators

AWS Infrastructure Services is at the heart of Amazon's cloud operations, responsible for the design, planning, delivery, and operation of all AWS global infrastructure. The ML-Navigator team specifically focuses on Machine Learning network automated support, working to achieve Zero Touch (ZT) operations across core networking spaces. This role offers an opportunity to work with AWS's industry-leading network platform that serves millions of servers worldwide.

As a Software Development Engineer in the ML-Navigators team, you'll be part of a dynamic two-pizza team within a larger organization of 100+ engineers. The team combines diverse skill sets across network engineering, systems engineering, and software development. You'll work on building mechanisms and automation to enable zero-touch operations for network scaling, planning, and operations.

The position involves working with cutting-edge technologies and solving complex challenges in network automation and machine learning applications. You'll collaborate with cross-functional teams, contribute to technical designs, and have the opportunity to influence the direction of critical infrastructure that powers AWS services. The role requires strong programming skills, particularly in languages like Python and Java, with Rust being a plus.

Amazon values work-life harmony and promotes an inclusive team culture. The company offers strong career growth opportunities, including knowledge-sharing, mentorship, and resources for professional development. You'll be working in Dublin, Ireland, contributing to systems that impact AWS's global network infrastructure and helping to maintain Amazon's competitive edge in cloud computing.

This is an excellent opportunity for experienced software engineers who are passionate about network automation, machine learning, and building scalable systems. You'll be part of a team that's essential to AWS's infrastructure, working on projects that directly impact the reliability and efficiency of one of the world's largest cloud platforms.