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
MongoDB's base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB's total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.
MongoDB's base salary range for this role in the U.S. is:
$126,000-$248,000 USD
