About the position
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.
Responsibilities
- 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.
Requirements
- 3+ 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.
Nice-to-haves
- Experience with building Gen AI applications or tools like langchain, llama index is preferred but not required.
Benefits
- 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.
- Health benefits offerings.
