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

About the role

The Catalog & Events team is building the AI and platform infrastructure to transform Workshop Studio from an internal enablement tool into a managed sandbox engine powering product experiences across AWS. This role involves driving the technical direction of the Content Catalog Service and Events Service during a period of significant platform expansion.

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