Top Engineering Jobs in San Francisco, CA

Provide advanced technical support for large MongoDB customers across the full MongoDB ecosystem (server, drivers, Atlas, Cloud Manager). Troubleshoot performance, architecture, recovery, security and storage issues end-to-end, develop support tools, mentor new hires, and liaise with product and engineering teams. Work EST shifts with a weekend shift expectation after ramp and participate in occasional off-hours coverage or regional events.

As a Senior Site Reliability Engineer, you'll design and build complex systems, support Atlas platform operations, automate processes, and ensure high availability of services.

Develop and improve MongoDB’s distributed database networking and observability components. Responsibilities include writing production-level C++ code, enhancing performance, availability, scalability, and resource efficiency, integrating observability frameworks, leading medium-sized projects, collaborating across the product lifecycle, and participating in code reviews and technical design. The role requires strong software architecture fundamentals and an interest in networking, observability, and computer systems internals.

The Senior Site Reliability Engineer will develop and support distributed storage services, ensuring reliability and operational safety, with a focus on automation and efficiency.

The Salesforce Engineer III will design, build, and support scalable Salesforce solutions, ensuring compliance with FedRAMP and other regulations, and participate in cross-functional collaboration for technical delivery and engineering best practices.

Lead and mentor a global team of Partner Solution Architects to build strategic relationships with hyperscaler partners. Drive partner alignment, technical enablement, co‑develop go‑to‑market initiatives, and cross‑functional collaboration to expand ecosystem revenue. Foster inclusive team culture, represent MongoDB externally, and solve partner business and technical challenges to ensure joint success.

The Senior Python Engineer will develop and support MongoDB Python drivers, enhance library quality, and collaborate on product features.

Design, build, and operate multi-tenant elastic storage control-plane services. Ensure high availability and performance, run observability and on-call practices, lead complex projects, collaborate cross-functionally, mentor junior engineers, and contribute to scaling services handling petabytes of data.

Design and implement a distributed query optimization system for MongoDB. Research query systems, architect features, write and review production-quality C++ code, debug large codebases, coordinate cross-team integrations, and mentor engineers while shaping long-term roadmap and performance improvements.