The worldwide data management software market is massive. According to IDC, the worldwide database software market, which it refers to as the database management systems software market, was forecasted to be approximately $82 billion in 2023 growing to approximately $137 billion in 2027. This represents a 14% compound annual growth rate. 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.
Atlas Search is a cloud service that allows users to execute 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.
Join a new upcoming team responsible for designing and building features that drive adoption of the Atlas Search for AI workloads. The team will be developing scalable services to deliver ML capabilities like embedding and data processing to build RAG and Chat applications on top of MongoDB.
This role is based in the SF Bay Area - hybrid work model.
You would get toDesign and contribute to our integrated search platform to support ML workloadsParticipate in product and architecture discussionsProvide thought leadership to continue to scale our architecture to evolve for the needs of tomorrowPerform code reviews with peers and make recommendations on how to improve our code and software development processesCollaborate with other teams including cloud services, database, enterprise tools, drivers and support to coordinate changes or contribute to their projectsIdeally you will be10+ years experience delivering large scale systems on productionProficient in modern programming languages and techniques preferably Java and PythonEager to impact and envision the technological future of a complex systemExperienced in developing distributed systems, cloud services and SaaS productsExperience with building Gen AI applications or tools like langchain, llama index is preferred but not requiredExperienced in designing and maintaining search platforms or distributed databases is preferred but not requiredExperienced in debugging and profiling multithreaded JVM applications and distributed applications is preferred but not requiredSuccess MeasuresIn three months, you will contribute to search repos to build the foundation for embedding management in MongoDB as well as develop relationships with your team and leaders on other teamsIn six months, you will have delivered a key feature and contribute to design for new ML capabilities in Atlas SearchIn twelve months, you'll be building POCs, designing new features, and collaborating with other Cloud and Server teams on complex projectsTo 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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