StaffEngineer,SearchQueryPlatform

The Search Query team at MongoDB builds the core infrastructure behind MongoDB Search and Vector Search. Our mission is to make advanced search capabilities feel native to the database, so developers can build powerful, scalable applications without standing up separate systems or compromising transactional performance. We are the team behind mongot, the indexing and query execution engine that powers Search and Vector Search across MongoDB Atlas and self-managed deployments. Our work sits at the intersection of distributed systems, databases, and search infrastructure. We integrate Apache Lucene with MongoDB using native query operators like $search and $vectorSearch, build asynchronous change-stream-driven indexing pipelines that scale independently from transactional workloads, and support deployments across cloud, on-prem, and hybrid environments. Engineers on this team own meaningful subsystems, influence architectural decisions, and work on core database technology used by developers globally. We are looking to speak to candidates who are based in Toronto, Ontario, Canada for our hybrid working model. What You'll Do: This is a rare opportunity to set the technical direction for one of MongoDB's most strategic investments. You will harden our infrastructure by implementing advanced resource management, admission control, and system safeguards to ensure high availability. You’ll serve as a force multiplier for the Search and Vector teams, building the foundational tooling, observability, and safeguards needed to ship high performance systems at scale. In this role, you will: Own the cross-system data infrastructure layer for MongoDB's next-generation Search and Vector Search capabilities, carrying outcomes that span 6-18 months Define the technical roadmap for Atlas Search, identifying gaps, proposing solutions, and driving alignment across engineering teams globally Lead the architecture and evolution of the core mongot and MongoDB infrastructure, making durabi