Staff Software Engineer : Storage, Search, & Data Platforms

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 across multiple teams or organizations, turning high-level business goals into concrete technical realities.
• Operational Excellence: Extensive experience managing Tier-0, mission-critical systems with 99.99% availability and global blast-radius constraints.

Preferred Qualifications

• Advanced Academic Background: MS / PhD in Computer Science (or equivalent experience) with a focus on Distributed Systems, Database Internals, or Large-Scale AI Infra.
• Open Source Authority: You are a Maintainer or PMC member of an industry-defining project (e.g., Apache Pinot, Ray, Iceberg, Lance, or Gravitino).
• AI Infrastructure Depth: Deep understanding of modern AI hardware-software interfaces, including GPU memory management, high-bandwidth networking (RDMA/NCCL), and training data pipelines.
• Cloud-Native Visionary: Extensive experience leveraging S3/GCS/OCI to build disaggregated storage-compute architectures that eliminate "stranded" resources and minimize cross-region costs.
• Mentorship at Scale: A track record of growing all levels of engineering talent, fostering a culture of technical excellence and scale.