Senior Software Engineer, Atlas Search QueryThe Consulting Solutions • Texas, Alabama, United States
Senior Software Engineer, Atlas Search Query
The Consulting Solutions
- Texas, Alabama, United States
- Texas, Alabama, United States
Über
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, enabling them to 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, and query execution for both relevance‑based search and vector search. The role is technical and involves responsible for the successful development of complex Search Query features. We are looking for candidates based in San Francisco, CA to work in a hybrid 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 to improve our software development processes. Influence and grow team members through active mentoring and leading by example. What We Look For
5+ years of experience in data management/search systems, ideally with a strong query processing and optimization background. Experience in the development and maintenance of stateful distributed systems. Eager to shape the technological direction of a complex system and able to lead initiatives through collaboration with others. Experience 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, contribute to the improvement of our core "mongot" repository. In 6 months, work on projects such as query features or platform improvements. In 12 months, build POCs, design new features, and collaborate with other teams across the company on complex projects. Compensation & Benefits
Base salary range for U.S. candidates: $126,000 – $248,000 USD. Additional 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. Equal Opportunity
MongoDB, Inc. is an equal opportunity employer and prohibits discrimination and harassment of any type. MongoDB is committed to providing accommodations for individuals with disabilities within our application and interview process. Req ID: 2273449912
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Sprachkenntnisse
- English
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