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-Navigators team focuses on Machine Learning network automated support, working to achieve Zero Touch operations across core networking spaces. As a Software Development Engineer in this team, you'll be part of a dynamic environment where you'll work with diverse skill sets and have the opportunity to influence the direction of critical infrastructure.

The role involves working with a two-pizza team within an organization of 100+ engineers, where you'll take end-to-end ownership of the software development lifecycle. You'll be instrumental in establishing technical direction, fostering team culture, and delivering features that impact both internal and external customers. The position requires expertise in Python and Java, with Rust being a valuable optional skill.

You'll be working on systems that help automate the planning, scaling, and operation of Amazon's network, which is a key differentiator for AWS. The team develops and maintains tools that enable seamless and automatic network operations, working towards creating a unified, scalable, and automated software ecosystem.

This is an excellent opportunity for someone passionate about large-scale network innovation and web services, who thrives in a fast-paced environment where priorities shift quickly. You'll collaborate with network engineers, system engineers, and other teams to improve infrastructure platforms and find more efficient ways of operating. The role offers significant growth potential and the chance to work on challenging technical problems that directly impact AWS's global network infrastructure.

Working at Amazon means joining a culture that values curiosity, innovation, and work-life harmony. You'll have access to mentorship opportunities, career development resources, and be part of an inclusive team culture that celebrates diversity through employee-led affinity groups and inclusion events.