MongoDB
Staff Query Engineer, Atlas Search San Francisco
MongoDB, San Francisco, California, United States, 94199
The worldwide data management software market is massive. At MongoDB, we are transforming industries and empowering developers to build amazing apps that people use every day. We are the leading developer data platform and the first database provider to IPO in over 20 years. Join our team and be at the forefront of innovation and creativity.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 ANN vector search & complex 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, and query execution, for both relevance-based search and vector search. This is a visible leadership role where you will be responsible for the technical success of our Search Query interface.This role is based in our San Francisco office.You would get to:
Lead complex projects across the MongoDB ecosystem, such as co-optimization of approximate nearest neighbor vector search with the MongoDB aggregation framework.Set initiative level strategy, architect plans, and lead the team towards 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.Ideally, you will be:
8+ years of experience in data management systems, specifically with a strong query processing and optimization background. A Master's or Ph.D. degree in a related field is a plus.Professionally experienced with designing high-volume query engines, such as a database, search system, or vector search system.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.Success Measures:
In 1 month, you will be mostly learning - becoming familiar with our teams, systems, and architecture.In 3 months, you'll contribute to the improvement of our search engine service.In 6 months, you'll be designing the next generation architecture and roadmap for search query optimization and execution within the MongoDB ecosystem.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 value our employees’ wellbeing and want to support them along every step of their professional and personal journeys.
Learn more about what it’s like to work at MongoDB , and help us make an impact on the world!MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
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Lead complex projects across the MongoDB ecosystem, such as co-optimization of approximate nearest neighbor vector search with the MongoDB aggregation framework.Set initiative level strategy, architect plans, and lead the team towards 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.Ideally, you will be:
8+ years of experience in data management systems, specifically with a strong query processing and optimization background. A Master's or Ph.D. degree in a related field is a plus.Professionally experienced with designing high-volume query engines, such as a database, search system, or vector search system.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.Success Measures:
In 1 month, you will be mostly learning - becoming familiar with our teams, systems, and architecture.In 3 months, you'll contribute to the improvement of our search engine service.In 6 months, you'll be designing the next generation architecture and roadmap for search query optimization and execution within the MongoDB ecosystem.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 value our employees’ wellbeing and want to support them along every step of their professional and personal journeys.
Learn more about what it’s like to work at MongoDB , and help us make an impact on the world!MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
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