Senior Software Development Engineer, FBA

Technology, Data & Digital · Software & Web Development · Software Engineering · Data Science · Machine Learning

In short

FBA is seeking a Senior Software Development Engineer to build AI-native engineering systems that eliminate reactive work. You will develop LLM-powered remediation agents, self-healing deployment platforms, and a knowledge foundation, impacting 55+ teams and 500+ engineers.

Responsibilities

  • Build AI-native tooling to eliminate reactive toil for other teams.
  • Ship LLM-powered remediation agents, autonomous workflows, and a knowledge foundation.
  • Develop agentic remediation systems that detect, diagnose, and resolve operational issues automatically.
  • Build self-healing deployment platforms with safe primitives, automated integration testing, and pipeline intelligence.
  • Create the FBA knowledge foundation using OE infrastructure and knowledge-graph tooling.

Requirements

  • 5+ years of non-internship professional software development experience.
  • 5+ years of programming experience with at least one software programming language.
  • 5+ years of leading design or architecture of new and existing systems (design patterns, reliability, scaling).
  • Experience as a mentor, tech lead, or leading an engineering team.
  • 5+ years of full software development life cycle experience (coding standards, code reviews, source control, build processes, testing, operations).

Desired 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.

Benefits

  • Work on VP-funded, multi-year charter with end-to-end ownership.
  • Opportunity to work at the frontier of applied AI.
  • See your work adopted across 55+ teams and 500+ engineers.
  • Operate with startup intensity: small teams, fast cycles, and freedom to invent.
  • Direct access to senior and Principal SDEs for design guidance, code review, and mentorship.
  • Clear path to grow scope and visibility on a VP-sponsored charter.
  • Provable impact, freeing up the equivalent of dozens of engineers.

Skills

AILLMmachine learningCI/CDobservability
#AI#software development#engineering systems#Fulfillment by Amazon#LLM#remediation agents#deployment platforms#knowledge foundation
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Company

Amazon

Job Posted

4 days ago

Employment Type

Full Time

Work mode

On Site

Experience Level

Senior

Locations

Bengaluru, India

Qualification

Bachelor

Applicants

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