Software Development Engineer II, FBA

Software Development Engineer II AI-Native Engineering Systems FBA
WANT TO BUILD AI SYSTEMS NOT CARRY A PAGER
Fulfillment by Amazon (FBA) lets sellers worldwide leverage Amazons 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. Were 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 wont be absorbing FBAs operational load youll be engineering it out of existence.
This is a VP-funded multi-year charter with end-to-end ownership and a leadership-backed mandate. Youll 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. Youll 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. Youll 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 youll 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 FBAs services and answer operational questions autonomously.
Basic qualifications

3 years of non-internship professional software development experience
Experience 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 systems
Experience with the full software development lifecycle coding standards code reviews source control build processes testing and operations
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
Familiarity with continuous delivery and autonomous deployment practices
Bias for measurable impact and comfort inventing in an ambiguous high-ownership charter

Key job responsibilities
Software Development Engineer II AI-Native Engineering Systems FBA
WANT TO BUILD AI SYSTEMS NOT CARRY A PAGER
Fulfillment by Amazon (FBA) lets sellers worldwide leverage Amazons 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. Were 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 wont be absorbing FBAs operational load youll be engineering it out of existence.
This is a VP-funded multi-year charter with end-to-end ownership and a leadership-backed mandate. Youll 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. Youll 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. Youll 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 youll 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 FBAs services and answer operational questions autonomously.
Basic qualifications

3 years of non-internship professional software development experience
Experience 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 systems
Experience with the full software development lifecycle coding standards code reviews source control build processes testing and operations
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
Familiarity with continuous delivery and autonomous deployment practices
Bias for measurable impact and comfort inventing in an ambiguous high-ownership charter

- 3 years of non-internship professional software development experience
- 2 years of non-internship design or architecture (design patterns reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language

- 3 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
- Bachelors degree in computer science or equivalent

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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.