Software Development Engineer II - Builder Experience, GenAI, GenAI, Codex

We're seeking an experienced Software Development Engineer II to join the CRUX (Code Review User eXperience) team within Amazon's Software Builder Experience organization. In this role, you'll build and scale critical code review infrastructure that serves thousands of Amazon builders daily, enabling them to ship code faster and more reliably. You'll work on high-impact projects including AI-powered code review assistance, autonomous agents for development workflows, and Vendor Central applications with five-nine availability requirements. This position offers the opportunity to drive innovation at Amazon scale while directly improving developer productivity across the company. Your work will be visible to senior leadership and will shape the future of software development at Amazon.

Key job responsibilities
Design and Build Scalable Systems: Architect, develop, and maintain code review infrastructure and Vendor Central applications that handle millions of requests with high availability and air-tight security requirements
Drive AI Innovation: Lead development of AI-powered features including CRUX Description Genie, autonomous code review agents, and intelligent workflow automation that transform how builders work
Own End-to-End Delivery: Take complete ownership of projects from requirements scoping through production launch, including design, implementation, testing, deployment, monitoring, and operations
Ensure Operational Excellence: Build observable, maintainable systems with comprehensive monitoring, alarming, automated remediation, and runbook documentation
Collaborate Cross-Functionally: Partner effectively with product managers, UX designers, data engineers, and engineering teams across ASBX, AWS, and other organizations to deliver integrated solutions
Mentor and Elevate: Share technical knowledge, conduct code reviews, and help develop less experienced engineers on the team through pairing and knowledge transfer
Solve Complex Problems: Tackle distributed computing challenges, find creative workarounds to hard problems, and make sound technical trade-offs that balance speed with quality