AWS Transform is building the next generation of Agentic AI services that autonomously migrate the world's largest enterprises to the cloud. With approximately 7/8 of all enterprise workloads still running on-premises, we are at the center of one of AWS's most significant growth opportunities. We are looking for a Senior Software Development Engineer who is excited to build at the frontier of AI — an engineer who wants to design and ship the autonomous agents that reason about complex infrastructure, make intelligent decisions, and execute large-scale migrations with minimal human intervention. This is a rare opportunity to do hands-on engineering on an AI-native platform as it takes shape.
Key job responsibilities
- Design, build, and own major components of our Agentic AI migration platform, where autonomous agents discover, plan, and execute data center migrations.
- Implement multi-agent capabilities that leverage foundation models, chain-of-thought reasoning, and tool-use patterns to solve concrete migration challenges.
- Contribute to AI-powered network transformation features, using generative models to analyze, replicate, and optimize enterprise network topologies.
- Collaborate closely with engineers and product partners within your team, contributing to design reviews and helping maintain architectural coherence across our agent frameworks.
- Improve the autonomy and accuracy of agentic orchestration for migration of servers, storage, networks, and applications through iterative development, testing, and measurement.
- Raise the bar on engineering quality through code reviews, operational excellence, and AI-native development practices; mentor junior engineers and interns, and contribute to a culture of rapid experimentation, spec-driven engineering, and high-velocity releases on Brownfield projects.
- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
- Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques
