About the role
Atlas Agent Engine is an agent development platform built on Atlas. It lets enterprises build, deploy, and govern AI agents in production on top of their real-time operational data. Many agents stall between demo and production because of gaps in memory, governance, and security. Agent Engine addresses these natively, as one foundation for execution, memory, and governance, instead of a stack of separate tools.
We are seeking a Software Engineer to join the Atlas Agent Engine team to build and scale the core of this platform. You will work on the developer CLI, SDKs, and distributed systems that run agents reliably at scale: the runtime, memory, retrieval, identity, and governance layers. You’ll take on challenging, high-visibility projects that improve the performance, scalability, and reliability of a new product. MongoDB engineering teams pride themselves on building high-quality software and living our cultural values every day. We value intellectual curiosity and honesty, and building together in an environment that prioritizes collaboration over competition.
We are looking to speak to candidates who are based in New York City for our hybrid working model.
Position Expectations
- Work closely with research, product management, product engineering, product design, peers as well as other teams within the company to implement the first version and future evolution of the service
- Design, build and deliver well-tested core pieces of the platform in collaboration with other vested parties
- Contribute to shaping architecture, code reviews and development practices, developer experience as the teams and product grow
- Mentor fellow engineers and assume ownership and accountability of projects
Qualifications
- Strong background in building core components for high scale compute and data distributed systems
- 3+ years experience of building distributed systems, and/or foundational cloud services at scale and an interest in working with Go, Python, and Typescript
- Proven success in designing, writing, testing, debugging, performance tuning, possessing a strong grip on the foundational materials of computer science and maintaining distributed and/or highly concurrent software systems in large, long-lived code bases
- Track record of identifying problems, implementing solutions and delivering complex projects in distributed systems or databases
- Good verbal and written technical communication skills, desire to collaborate with colleagues
- Bonus: Experience with AI frameworks and tools, open standards such as MCP, A2A, multi-tenant security, enterprise authentication and identity management.