Senior Software Engineer, Atlas Search Query

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, 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

What We Look For

• 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
• Bonus: experience with designing high-volume query engines, such as a database, search system, or vector search system

Success Measures:

• In 3 months, you'll contribute to the improvement of our core "mongot" repository
• In 6 months, you'll be working on projects such as query features or platform improvements
• In 12 months, you'll be building POCs, designing new features, and collaborating with other teams from across the company on complex projects

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we