Staff Software Engineer : Storage, Search, & Data Platforms

Uber

Quick summary

Work type: On-site
Location: Seattle, WA · San Francisco, CA · Sunnyvale, CA
Salary: $232,000–$232,000 / yr
Posted: 17 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $196k

This role $232k

$129k most similar roles pay here $274k

This role pays more than 79% of similar roles. Most pay $165,375–$226,250 — the shaded band above. At the midpoint, this role pays about $232k versus about $196k for comparable roles.

Based on 240 similar postings.

Employer

About Uber

Uber Technologies, Inc. is the world’s largest, San Francisco-based mobile technology platform facilitating on-demand ride-hailing, food delivery (Uber Eats), and freight transportation across approximately 70 countries.

Uber currently has 95 open roles on FindRole.

Listed pay typically runs $232,000–$232,000 across 76 roles with salary data.

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At a glance

TL;DR · Staff Software Engineer : Storage, Search, & Data Platforms

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As a Staff Software Engineer in the Storage, Search, & Data Platforms team at Uber, you will serve as a primary technical architect responsible for bridging on-premise systems with a modern cloud-native data ecosystem. Your daily tasks include defining long-term roadmaps to transition Uber’s data storage infrastructure while ensuring global metadata consistency and cost efficiency. You will also partner with AI/ML teams to design high-performance data access APIs across multi-cloud environments, driving innovation in core engines like Docstore, Vitess, Apache Pinot, and OpenSearch. The role demands expertise in Go, Java, C++, or Rust, along with deep knowledge of distributed systems and database internals. You must have a strong background in cloud-native technologies, open-source contributions, and experience managing mission-critical systems with 99.99% availability.

Skills

Go Java C++ Rust Apache Pinot Vitess OpenSearch Hudi Iceberg S3 GCS OCI CI/CD Docker Kubernetes Prometheus Grafana Git GitHub Jira Confluence

What you'll do

Define and execute the multi-year roadmap for transitioning Uber to a Cloud-Native Data Provider.
Architect the "Data-to-GPU" pipeline to enable seamless high-performance data access across multi-cloud regions.
Drive innovation in core engines like Docstore, Vitess, Apache Pinot, and OpenSearch.
Represent Uber as a leader in key open source technologies such as Apache, Hudi, Iceberg.
Ensure operational excellence for Tier-0 systems with 99.99% availability and global constraints.

What we're looking for

12+ years of experience in designing and operating massive-scale distributed data systems.
Expertise in Go, Java, C++, or Rust with deep knowledge of database internals and kernel-level optimizations.
Proven ability to lead technical strategy across multiple teams, translating business goals into technical realities.
Extensive experience managing Tier-0 mission-critical systems requiring 99.99% availability.
Advanced degree (MS/PhD) in Computer Science or equivalent industry experience focusing on Distributed Systems and Database Internals.
Active role as a Maintainer or PMC member of key open-source projects like Apache Pinot, Iceberg, etc.
Deep understanding of modern AI hardware-software interfaces including GPU memory management and high-bandwidth networking.

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