Top Engineering Jobs in San Francisco, CA

Develop and maintain Kubernetes runtime environments, support developers, resolve critical issues, and participate in on-call rotations for production systems.

Work on user-facing features built on the MongoDB query engine, implement and test C++ code, improve query performance and robustness, integrate query with other products, and participate in code reviews and design. Deliver new features, fix bugs, and mentor peers over time.

Provide technical advisory and hands-on support to large enterprise customers for MongoDB products and services. Manage architecture, performance, recovery, security, and troubleshooting across on-prem and cloud deployments. Build relationships, coordinate issue resolution, advocate customer needs to product teams, and operate as primary technical contact for named accounts.

Lead design and implementation of search query architecture and execution for Atlas Search. Architect features, drive complex projects, optimize query language and performance, debug multithreaded Java and Rust systems, mentor teammates, and collaborate across teams to deliver scalable relevance and vector search capabilities.

As a Software Engineer 3, you will design and build core components for a multi-tenant inference platform integrated with MongoDB Atlas, collaborating with ML engineers to enhance performance and reliability.

Lead and grow a small software engineering team building MongoDB's distributed query engine. Mentor engineers, contribute code, guide architecture and feature design, remove blockers, coordinate dependencies, plan hiring and resources, estimate delivery timelines, and set team culture to deliver new query features and performance improvements.

The Software Engineer will design, build, test, and maintain backend software for Atlas Search, ensuring scalability and system improvement in a collaborative team environment.

Design, implement, and maintain distributed systems software for Atlas Search. Collaborate with the team on scalability improvements, lead projects, and contribute to technical decision-making.

The role involves leading the Code Gen team to modernize legacy applications using AI-powered tools, ensuring system scalability and efficiency through collaboration and strategic technical decisions.

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.