Top Engineering Jobs in San Francisco, CA

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.

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.

Lead a 6–8 person team managing the Kubernetes fleet and core runtime components (CoreDNS, cert-manager, Gatekeeper). Define technical vision and roadmap, guide migration from Terraform to Operator-driven lifecycle management, perform hands-on architectural reviews and PR reviews, resolve operational incidents, and collaborate with engineering leaders and stakeholders.

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

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.

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

Design and implement cloud-native storage and replication features for MongoDB. Develop production C++ code, write tests (C++, JavaScript, Python), diagnose bugs and performance regressions, handle customer escalations, lead cross-team projects, mentor engineers, and collaborate on product roadmaps.

Technical Services Engineers at MongoDB solve complex database problems for customers, requiring deep technical skills and customer service expertise. They work on architecture, performance, and support tools, engage with clients on technical queries, and contribute to projects within the MongoDB ecosystem. The role demands a mix of systems and storage engineering experience, coding skills, and a collaborative spirit.