Top Engineering Jobs in San Francisco, CA

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.

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.

As a Senior Staff Engineer for Developer Productivity, you will enhance developer velocity through system-wide opportunities and best practices. Responsibilities include leading projects, advising on technical design, and mentoring the team to optimize internal software development tools and systems.

The Release Manager will improve MongoDB's build and release process, collaborate with teams, manage releases, and address technical issues effectively.

Design, build, and support Salesforce CPQ and Quote-to-Cash solutions including product modeling, pricing, quoting, approvals, integrations, custom Apex/LWC/Flow development, performance optimization, testing, and stakeholder enablement to support sales and revenue operations.

The Senior Lead Engineer will lead a team to modernize legacy applications using Generative AI, mentor engineers, and drive technical decisions, ensuring scalable and reliable software architecture.