Senior Software Engineer, Atlas Search Query
About The Position
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.
Requirements
- 5+ years experience in data management/search systems, ideally with a strong query processing and optimization background
- Experienced in the development and maintenance of stateful distributed systems
- Eager to shape the technological direction of a complex system and have the ability to lead initiatives through collaboration with others
- Experienced in debugging and profiling multithreaded applications written in Java and Rust
Nice To Haves
- experience with designing high-volume query engines, such as a database, search system, or vector search system
Responsibilities
- 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, design, and implement features enhancing our query language, performance, and operability
- Perform code reviews with peers and make recommendations on how to improve our software development processes
- Influence and grow team members through active mentoring and leading by example
Benefits
- fertility assistance
- parental leave policy
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
