Software Engineer 3, Atlas Search Systems

Software Engineer 3, Search Systems Replication & Routing

Mongodb

Atlas Search is a multi-cloud service that allows users to execute complex full text and vector search queries using the MongoDB Query Language. Our users are free to focus on relevance and data retrieval instead of the machinery needed to search data at scale. Our team is building the cloud-based distributed systems software responsible for the lifecycle of search indexes including: data ingestion, index building, partitioning, performance, availability, and backup management. Our product is quickly gaining traction with customers and we are making core architectural improvements that you will contribute to. This role is based in San Francisco, CA with an in-office or hybrid work model. SUCCESSFUL CANDIDATES WILL HAVE THE FOLLOWING QUALITIES: * 2+ years of hands-on experience designing, building, testing, and maintaining industrial-strength backend software in a complex codebase * Experience developing distributed systems and multithreaded applications * Experience with at least one modern statically typed programming language, and interest in working with Java * Excellent verbal and written technical communication skills and enthusiasm for collaborating closely with colleagues * A growth mindset and the desire to learn quickly through taking on challenges, reflecting on outcomes, and incorporating feedback * A strong sense of ownership over their work, from initial design all the way through maintaining code in production YOU WILL: * Contribute to the design, implementation, and support of projects that improve the scalability of Atlas Search to make using it a seamless experience for even the largest workloads * Work with a collaborative team that prioritizes sound technical decision-making and building systems that our customers love and that we are proud of as engineers * Have the opportunity to lead projects and own subsystems * Provide input on the team’s roadmap and help determine the architecture of our system SUCCESS MEASURES: * In 3 months you’ll have a solid high-level understanding of what our team does and how we operate. You’ll have contributed to the development of an existing project and completed several small improvements or bug fixes * In 6 months you’ll be reviewing code and project designs, and be an active participant in team meetings * In 12 months you’ll have a thorough understanding of the systems our team owns and have led a small project. You’ll have proposed small improvements to our code, product, or team processes ABOUT MONGODB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 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. Req ID: 3263241199 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: $106,000—$209,000 USD

Software Engineer 3, Atlas Vector Search

Mongodb

Join the Vector Search team and help build a cutting-edge vector database on top of MongoDB. Our team is responsible for the syntax and implementation of MongoDB's $vectorSearch aggregation, which enables approximate nearest neighbor queries over high-dimensional vectors. We are a small team with a large and rapidly growing customer base, providing engineers an opportunity to make a highly-visible, broad impact. When scaling search to billions of vectors, performance is paramount. We're looking for engineers who enjoy solving complex and open-ended problems that directly impact users' performance. This role is based in San Francisco, CA with a hybrid work model. YOU WOULD GET TO: * Implement new features within MongoDB's $search and $vectorSearch aggregation operators * Work cross-functionally with Product teams to define new query and index syntax * Identify and address performance bottlenecks in filter queries and nearest neighbor search * Have the opportunity to lead projects and own subsystems * Perform code reviews with peers, review technical designs, and mentor junior developers IDEALLY YOU WILL BE: * 3+ years of experience working on large-scale backend systems * Experience writing high-performance applications in Java or another JVM language * A growth mindset and the desire to learn quickly through taking on challenges, reflecting on outcomes, and incorporating feedback * Passionate about optimization, code quality, and problem solving * Bonus: experienced with Apache Lucene, vector databases, or high-throughput web services SUCCESS MEASURES * In 3 months you'll have a solid high-level understanding of what our team does and how we operate * You'll have contributed to the development of an existing project and completed several small improvements or bug fixes * In 6 months you'll be reviewing code and project designs, and be an active participant in team meetings * In 12 months you'll have a thorough understanding of the systems our team owns and have led a small project. You'll have proposed small improvements to our code, product, or team processes ABOUT MONGODB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 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.   Req ID: 4263333188 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: $106,000—$209,000 USD

Senior Software Engineer, Atlas Search Query

Mongodb

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 ABOUT MONGODB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.  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. Req ID: 2273449912 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