The Staff Engineer role in the Storage, Search, and Data (SSD) group at Uber focuses on being a primary technical architect responsible for bridging on-premise systems with a cloud-native data ecosystem. This position requires expertise in distributed systems and the ability to lead multiple platform teams towards a unified data-to-AI future. The engineer will also represent Uber in the global community regarding key open-source technologies. The role emphasizes strategic execution and operational excellence in managing mission-critical systems.

• 12+ years of software engineering experience with a proven history of designing and operating massive-scale distributed data systems.
• Elite engineering skills in Go, Java, C++, or Rust.
• Proven experience leading technical strategy across multiple teams or organizations.
• Extensive experience managing Tier-0, mission-critical systems with 99.99% availability.

• Define and execute the multi-year roadmap to transition Uber from 'Data Storage' to a Cloud-Native Data Provider.
• Partner with Uber’s AI/ML leadership to architect the 'Data-to-GPU' pipeline.
• Drive the next generation of core engines including Docstore, Vitess, Apache Pinot, and OpenSearch.
• Represent Uber in the global community as a leader in key open source technologies.

• Employees at Uber are often offered comprehensive health, life, disability, and mental wellness benefits, along with wellbeing stipends, travel medical coverage, and monthly Uber credits for Rides and Eats. Employees also get generous paid parental leave, flexible time off, and family-planning support so they can care for themselves and their families at every stage.