Job Overview
Join the Atlas Search Query team to design and develop the next generation of Search query architecture, optimization, and execution.
Atlas Search is a growing cloud service that allows users to execute complex search and vector search queries using the MongoDB Query Language. Our users can focus on relevance and data retrieval instead of the machinery needed to search data at scale.
Our team is building a cloud-based distributed system responsible for the core components of search including data ingestion, performance, query language, query execution, for both relevance-based search and vector search. Our product is being adopted quickly and there are many interesting projects. This is a technical role where you will be responsible for the success of complex Search Query feature development.
We are looking to speak to candidates who are based in San Francisco, CA for our hybrid working model.
What You’ll Do
- Lead complex projects across the MongoDB ecosystem, for instance, development of a new Search aggregation framework within the MongoDB aggregation framework.
- Set project level strategy, architect features, and lead projects to successful execution
- Identify