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 and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications.
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, 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 to:- Design and contribute to our integrated search platform to support ML workloads
- Participate in product and architecture discussions
- Perform code reviews with peers and make recommendations on how to improve our code and software development processes
- Collaborate with other teams including cloud services, database, enterprise tools, drivers and support to coordinate changes or contribute to their projects
- 7+ years experience delivering large scale systems on production
- Proficient in modern programming languages and techniques preferably Java and Python
- Experienced in developing distributed systems, cloud services and SaaS products
- Experience with building Gen AI applications or tools like langchain, llama index is preferred but not required
- Experienced in designing and maintaining search platforms or distributed databases is preferred but not required
- Experienced in debugging and profiling multithreaded JVM applications and distributed applications is preferred but not required
- In 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 teams
- In six months, you will have delivered a key feature and contribute to new ML capabilities in Atlas Search
- In twelve months, you'll be building POCs, designing new features, and collaborating with other Cloud and Server teams on complex projects
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: 3252996510
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.
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MongoDB Palo Alto, California, USA Office
499 Hamilton Avenue, Palo Alto, CA, United States, CA 94301
MongoDB San Francisco, California, USA Office
88 Kearny Street, San Francisco, CA, United States, 94108
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