Top Engineering Jobs in San Francisco, CA

Design, build, and operate large-scale distributed storage systems to ensure durability, availability, and performance. Implement and evolve replication, erasure coding, and data placement; write production-quality code in Go and Rust. Troubleshoot production incidents, participate in on-call rotations, perform root cause analysis, and collaborate cross-functionally to deliver reliable, cost-efficient storage solutions while leading scoped infrastructure projects.

Lead long-term technical strategy and execution for core sharing and collaboration systems at scale. Own cross-organizational architecture, drive AI adoption, design and implement foundational frontend and backend systems, resolve platform bottlenecks, mentor engineers, and deliver highly reliable, performant consumer-facing features used by millions.

The Staff Software Engineer will lead performance initiatives on various platforms, improve application performance, and define engineering standards, focusing on hands-on problem solving and strategic influence across teams.

As a Senior Infrastructure Software Engineer, you'll re-architect Identity systems, collaborate with teams, and mentor junior engineers while ensuring software excellence and participating in on-call rotations.

Define and drive company-wide reliability strategy for AI-enabled software development. Set multi-year reliability goals, lead cross-team initiatives, improve observability, incident response, SLOs/SLAs, and mentor engineers to raise operational excellence and reduce reliability risk.

Design and build a highly scalable, unified search platform powering lexical, vector, multi-modal search, Q&A, and recommendations. Scale indexing for trillions of documents, ensure global performance and reliability, collaborate across teams, and participate in on-call rotations.

The Staff Backend Software Engineer will design and evolve scalable backend systems for Dropbox's Commerce Platform, driving technical strategy and overseeing system reliability, simplification, and data integrity across complex workflows.