Senior Software Development Engineer, FBA

AI in this role

Build AI-native remediation agents and self-healing deployment systems for Amazon Fulfillment.

llms

software-engineeringagentic-workflowsai-systemsautomation

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

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.

How we rate this

Senior Software Development Engineer, FBA 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.

Key facts

Senior Software Development Engineer, FBA is an open job at Amazon.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in IN, KA, Bengaluru.
The job was posted on October 1, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

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

Software EngineeringAgentic WorkflowsAI SystemsAutomationLLMs

Questions you could be asked

Tell me about a project where software engineering was part of your work. What did you do?
Tell me about a project where agentic workflows was part of your work. What did you do?
Tell me about a project where ai systems was part of your work. What did you do?
Tell me about a project where automation was part of your work. What did you do?
Walk me through how you've used LLMs in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Software Engineering, Agentic Workflows, AI Systems, Automation, and LLMs. 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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