Sr. Software Development Engineer, AWS Transform

AI in this role

Design and ship autonomous agents and multi-agent AI systems to automate large-scale enterprise cloud migrations.

replicateaws

ai-agentsagentic-aimulti-agent-systemsfoundation-modelssoftware-architecturedistributed-systems

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.

Basic qualifications

- 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

Preferred qualifications

- 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

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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, MA, Boston - 168,100.00 - 227,400.00 USD annually

How we rate this

Sr. Software Development Engineer, AWS Transform at Amazon rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

AI AgentsAgentic AIMulti Agent SystemsFoundation ModelsSoftware ArchitectureDistributed SystemsReplicateAWS

Questions you could be asked

How do you decide when an AI agent can act on its own versus asking for approval first?
Tell me about a project where agentic ai was part of your work. What did you do?
Tell me about a project where multi agent systems was part of your work. What did you do?
Tell me about a project where foundation models was part of your work. What did you do?
Tell me about a project where software architecture was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: AI Agents, Agentic AI, Multi Agent Systems, Foundation Models, and Software Architecture. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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