Jobs · Consulting · Washington

Sr. Software Development Engineer, Workshop Studio, Catalog & Events

Amazon Web Services (AWS) · Seattle, WA · 3 wk ago
ConsultingFull-time

About the role

The Catalog & Events team is part of Workshop Studio, an AWS platform that powers hands-on technical learning and product experiences. The team is responsible for the Content Catalog Service and the Events Service, which manage workshop creation, provisioning, and participant lifecycle management.

Responsibilities

  • Build AI-powered capabilities on Amazon Bedrock AgentCore such as content discovery, adaptive participant guidance, automated session summaries with lead scoring, agent-assisted authoring, and simulated participant playthroughs for content validation.
  • Design multi-tenant content management with per-partner isolation, access controls, and lifecycle tooling. Build integration APIs that let Marketplace and Builder Center provision sandbox environments on demand.
  • Evolve the auth architecture across multiple identity providers (Federate, Gandalf/Builder ID, Cognito, STS) to support partner authentication, scoped permissions for external users, and cross-tenant content sharing.
  • Lead design reviews, mentor a team of backend and frontend engineers, and produce architectural documents that shape multi-year decisions. Own production health through on-call rotations, incident response, retrospective reviews, and runbook maintenance.

Qualifications

  • Experience as a mentor, tech lead or leading an engineering team
  • 6+ years of non-internship professional software development experience
  • 5+ years of programming with at least one software programming language experience
  • 4+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
  • Bachelor's degree in computer science or equivalent

Preferred Qualifications

  • 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
  • Knowledge of machine learning model architecture and inference
  • 5+ years of highly scalable systems experience

Benefits

Amazon offers comprehensive benefits including health insurance, 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

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