Senior Staff Engineer IAM

Senior Staff Engineer IAM Department: Engineering Team: Backend Location: Sunnyvale, United States Type: Full-Time **The Team** ### **The Team** The Identity organization is the foundational gateway to Uber’s ecosystem. We manage the core identity functions for millions of riders, drivers, earners, and merchants globally. Our mission is to provide a seamless, secure, and "invisible" identity experience across every Uber product, partner, and acquisition. With a global footprint of 120+ engineers, we operate at a huge scale. As a Sr. Staff Engineer, you won't just be part of the team; you will be the technical conscience of our identity architecture, ensuring our stack—from mobile SDKs to high-throughput backend services—is resilient enough for the next decade of growth. **Your Impact** **Long-Range Architectural Stewardship:** You aren't just thinking about the next sprint. You are anticipating shifts in the identity landscape (e.g., Passkeys, Decentralized Identity, Zero Trust) 24+ months out, ensuring Uber’s modular architecture can pivot without massive rewrites. **The "Force Multiplier" Effect:** You elevate the entire 120+ person organization. Whether through defining GenAI-driven fraud detection patterns or setting the standard for "Identity-as-Code," your designs reduce complexity and increase developer velocity across all of Uber Engineering. **Cross-Domain Influence:** You are a primary bridge between Engineering, Product, and Legal/Compliance. You translate complex regulatory requirements (GDPR, DMA, etc.) into elegant technical solutions that don't compromise the user experience. **Operational Excellence at 1B+ Scale:** You drive the reliability and performance standards for systems that handle hundreds of thousands of requests per second, ensuring five-nines availability for Uber’s most critical path. \-\-\-\- Basic Qualifications ---- 1. BS or equivalent in Computer Science, or related field. 12+ years full-time Software Engineering work experience. 2. Designing and building large scale distributed systems, including launching and migrating a large backend