MongoDB
Senior Software Engineer, Atlas Search Query 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. This is a technical role where you will be responsible for the success of complex Search Query feature development.This role is based in our San Francisco office.You would get to:
Lead complex projects across the MongoDB ecosystem, for instance, co-optimization of approximate nearest neighbor vector search with 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.Ideally, you will be:
5+ years experience in data management systems, ideally with a strong query processing and optimization background.Experienced in developing stateful distributed systems.Experienced with designing high-volume query engines, such as a database, search system, or vector search system.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 JVM applications.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 new features and collaborating with other teams from across the company on projects related to search query optimization and execution.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.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, for instance, co-optimization of approximate nearest neighbor vector search with 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.Ideally, you will be:
5+ years experience in data management systems, ideally with a strong query processing and optimization background.Experienced in developing stateful distributed systems.Experienced with designing high-volume query engines, such as a database, search system, or vector search system.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 JVM applications.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 new features and collaborating with other teams from across the company on projects related to search query optimization and execution.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.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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