Software Development Engineer II, FBA

Software Development Engineer II — AI-Native Engineering Systems, FBAWANT 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 differentBuild 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 buildAgentic 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 qualifications3+ years of non-internship professional software development experienceExperience programming with at least one modern language (Java, C++, Python, etc.)Experience contributing to the architecture and design (design patterns, reliability, scaling) of new and current systemsExperience with the full software development lifecycle — coding standards, code reviews, source control, build processes, testing, and operationsPreferred qualificationsExperience 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 problemsFamiliarity with continuous delivery and autonomous deployment practicesBias for measurable impact and comfort inventing in an ambiguous, high-ownership charterKey job responsibilitiesSoftware Development Engineer II — AI-Native Engineering Systems, FBAWANT 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 differentBuild 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 buildAgentic 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 qualifications3+ years of non-internship professional software development experienceExperience programming with at least one modern language (Java, C++, Python, etc.)Experience contributing to the architecture and design (design patterns, reliability, scaling) of new and current systemsExperience with the full software development lifecycle — coding standards, code reviews, source control, build processes, testing, and operationsPreferred qualificationsExperience 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 problemsFamiliarity with continuous delivery and autonomous deployment practicesBias for measurable impact and comfort inventing in an ambiguous, high-ownership charter