Staff Software Engineer : Storage, Search, & Data Platforms

Staff Software Engineer : Storage, Search, & Data Platforms Department: Engineering Team: Backend Location: Sunnyvale, United States Type: Full-Time The Storage, Search, and Data (SSD) group is the custodian of Uber’s digital intelligence. We provide the unified data fabric—from transactional persistence to real-time discovery—that powers every ride, delivery, and autonomous decision made across the planet. As a Staff Engineer, you will operate as a primary technical architect for the SSD organization. You will be responsible for the technical vision that bridges our on-premise footprint with a Modern, Cloud-Native Data Ecosystem. This role requires a rare blend of deep distributed systems expertise, leading from the front, and the strategic influence to align multiple platform teams toward a unified "Data-to-AI" future. **What You Will Lead** - Strategic Evolution: Define and execute the multi-year roadmap to transition Uber from "Data Storage" to a Cloud-Native Data Provider, solving for cross-region latency, global metadata consistency, and exabyte-scale cost efficiency. - The AI-Data Convergence: Partner with Uber’s AI/ML leadership to architect the "Data-to-GPU" pipeline. You will design the one-stop storage APIs that allow researchers to leverage high-performance data access across multi-cloud regions and vendors seamlessly. - Platform Innovation: Drive the next generation of our core engines: Docstore (NoSQL), Vitess (Sharded MySQL), Apache Pinot (Real-time Analytics), and OpenSearch (Discovery). - You will represent Uber in the global community as a leader in key open source technologies including Apache, Hudi, Iceberg and many others ## **\-\-\-\- Basic Qualifications ----** - Industry Leadership: 12+ years of software engineering experience, with a proven history of designing and operating massive-scale distributed data systems. - Systems Mastery: Elite engineering skills in Go, Java, C++, or Rust. You are comfortable deep-diving into database internals, kernel-level optimizations, and complex distributed consensus protocols. - Strategic Execution: Proven experience leading technical strategy acro