Senior Software Engineer, Atlas Search Query - MongoDB
San Francisco, CA
About the Job
MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data
We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI
Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure
Atlas allows customers to build anywhere—on the edge, on premises, or across cloud providers
With offices worldwide and over 175,000 developers joining MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications.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, 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.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 frameworkSet project level strategy, architect features, and lead projects to successful executionIdentify, design, and implement features enhancing our query language, performance, and operabilityPerform code reviews with peers and make recommendations on how to improve our software development processesInfluence and grow team members through active mentoring and leading by exampleIdeally, you will be:5+ years experience in data management systems, ideally with a strong query processing and optimization backgroundExperienced in developing stateful distributed systemsExperienced with designing high-volume query engines, such as a database, search system, or vector search systemExperienced in the development and maintenance of stateful distributed systemsEager to shape the technological direction of a complex system and have the ability to lead initiatives through collaboration with othersExperienced in debugging and profiling multithreaded JVM applicationsSuccess Measures:In 1 month, you will be mostly learning - becoming familiar with our teams, systems and architectureIn 3 months, you'll contribute to the improvement of our search engine serviceIn 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 executionTo 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.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:$118,000—$231,000 USD
We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI
Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure
Atlas allows customers to build anywhere—on the edge, on premises, or across cloud providers
With offices worldwide and over 175,000 developers joining MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications.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, 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.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 frameworkSet project level strategy, architect features, and lead projects to successful executionIdentify, design, and implement features enhancing our query language, performance, and operabilityPerform code reviews with peers and make recommendations on how to improve our software development processesInfluence and grow team members through active mentoring and leading by exampleIdeally, you will be:5+ years experience in data management systems, ideally with a strong query processing and optimization backgroundExperienced in developing stateful distributed systemsExperienced with designing high-volume query engines, such as a database, search system, or vector search systemExperienced in the development and maintenance of stateful distributed systemsEager to shape the technological direction of a complex system and have the ability to lead initiatives through collaboration with othersExperienced in debugging and profiling multithreaded JVM applicationsSuccess Measures:In 1 month, you will be mostly learning - becoming familiar with our teams, systems and architectureIn 3 months, you'll contribute to the improvement of our search engine serviceIn 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 executionTo 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.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:$118,000—$231,000 USD
Source : MongoDB