Staff Software Engineer : Storage, Search, & Data Platforms Job at Uber (Seattle)

Job Description

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.

Job Responsibility

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
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
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

Requirements

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. You are comfortable deep-diving into database internals, kernel-level optimizations, and complex distributed consensus protocols
Proven experience leading technical strategy across multiple teams or organizations, turning high-level business goals into concrete technical realities
Extensive experience managing Tier-0, mission-critical systems with 99.99% availability and global blast-radius constraints

Nice to have

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

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
Eligible to participate in a 401(k) plan
Various benefits

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Staff Software Engineer : Storage, Search, & Data Platforms

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