Software Development Engineer III — AI-Native Engineering Systems, FBA

WANT TO BUILD AI SYSTEMS — NOT CARRY A PAGER

Fulfillment by Amazon (FBA) lets sellers worldwide leverage Amazon's world-class logistics infrastructure — storage, fulfillment, delivery, returns — as a service. Sellers from Fortune 50 companies to hundreds of thousands of small businesses in 135+ countries rely on FBA, which powers tens of billions in annual GMS across dozens of categories.

Most engineering teams spend their best hours reacting — triaging tickets, babysitting deployments, answering the same operational questions over and over. We're building the opposite team. Our entire charter is to build the AI-native systems that make reactive work disappear: agents that resolve operational issues before a human sees them, self-healing pipelines that deploy without manual gates, and a knowledge foundation that lets software answer for itself. You won't be absorbing FBA's operational load — you'll be engineering it out of existence.

You'll work at the frontier of applied AI — LLM-powered remediation agents, machine-readable operational knowledge, autonomous deployment systems — and see your work adopted across 55+ teams and 500+ engineers. We operate with startup intensity inside Amazon: small teams, rapid cycles, and the freedom to invent.

Build systems, not backlog. Your job is to invent AI-native tooling — not to sit in an operational queue. AI at the core, not bolted on. You'll ship LLM-powered remediation agents, autonomous workflows, and a knowledge foundation that makes AI-assisted development the default across FBA — real production systems, not prototypes.

You'll join a dedicated pod with direct access to multiple senior and Principal SDEs for design guidance, code review, and mentorship — with a clear path to grow your scope and visibility on a VP-sponsored charter.

Agentic remediation systems — LLM-powered agents that detect,



diagnose, and resolve operational issues automatically, replacing manual runbooks with self-executing guidance.

Self-healing deployment platforms — safe primitives, automated integration testing, and pipeline intelligence that drive teams toward fully continuous, hands-off delivery.

The FBA knowledge foundation — the OE infrastructure and knowledge-graph tooling that let AI systems reason about FBA's services and answer operational questions autonomously.

Software Development Engineer III — AI-Native Engineering Systems, FBA

WANT TO BUILD AI SYSTEMS — NOT CARRY A PAGER

Fulfillment by Amazon (FBA) lets sellers worldwide leverage Amazon's world-class logistics infrastructure — storage, fulfillment, delivery, returns — as a service. Most engineering teams spend their best hours reacting — triaging tickets, babysitting deployments, answering the same operational questions over and over. We're building the opposite team. Our entire charter is to build the AI-native systems that make reactive work disappear: agents that resolve operational issues before a human sees them, self-healing pipelines that deploy without manual gates, and a knowledge foundation that lets software answer for itself. You won't be absorbing FBA's operational load — you'll be engineering it out of existence.

You'll work at the frontier of applied AI — LLM-powered remediation agents, machine-readable operational knowledge, autonomous deployment systems — and see your work adopted across 55+ teams and 500+ engineers. Build systems,



not backlog. Your job is to invent AI-native tooling — not to sit in an operational queue. AI at the core, not bolted on. You'll ship LLM-powered remediation agents, autonomous workflows, and a knowledge foundation that makes AI-assisted development the default across FBA — real production systems, not prototypes.

Agentic remediation systems — LLM-powered agents that detect, diagnose, and resolve operational issues automatically, replacing manual runbooks with self-executing guidance.

Self-healing deployment platforms — safe primitives, automated integration testing, and pipeline intelligence that drive teams toward fully continuous, hands-off delivery.

The FBA knowledge foundation — the OE infrastructure and knowledge-graph tooling that let AI systems reason about FBA's services and answer operational questions autonomously.

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

Bachelor's degree in computer science or equivalent

5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience

Experience building automation, platform, or developer-productivity systems (CI/CD, observability, agentic/AI-assisted tooling)

Hands-on interest in applying LLMs and AI-native approaches to real engineering problems

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 for more information.

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