Senior Software Development Engineer, FBA

• 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.
• This is a VP-funded, multi-year charter with end-to-end ownership and a leadership-backed mandate. 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, fast cycles, and the freedom to invent.

Why this team is different

• Build systems, not backlog. Your job is to invent AI-native tooling — not to sit in an operational queue. Your work is measured by how much reactive toil it eliminates for other teams.
• 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.
• Learn from the best. 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.
• Provable impact. Your systems free up the equivalent of dozens of engineers across FBA — measured, visible, and tied directly to a leadership-backed goal.
• What you'll build

• 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.

• Key job responsibilities
• 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.
• This is a VP-funded, multi-year charter with end-to-end ownership and a leadership-backed mandate. 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, fast cycles, and the freedom to invent.

Why this team is different

• Build systems, not backlog. Your job is to invent AI-native tooling — not to sit in an operational queue. Your work is measured by how much reactive toil it eliminates for other teams.
• 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.
• Learn from the best. 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.
• Provable impact. Your systems free up the equivalent of dozens of engineers across FBA — measured, visible, and tied directly to a leadership-backed goal.
• What you'll build

• 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.

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
• - 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

Preferred qualifications

• - 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
• - Bias for measurable impact and comfort inventing in an ambiguous, high-ownership charter

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