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 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
- 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 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 - protected 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
- 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
Preferred qualifications
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
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Locations
- IND, KA, Bengaluru
📌 Software Development Engineer II, FBA (India)
🏢 Amazon
📍 India