Senior Software Development Engineer, AWS Transform

- 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

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The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, TX, Dallas - 168,100.00 - 227,400.00 USD annually
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 and mainframe, 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 and software, 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.