Senior Software Engineer, Atlas Agent Engine
MongoDB · United States
About this role
**Senior Software Engineer, Atlas Agent Engine** MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. MongoDB Atlas is a globally distributed, multi-cloud database available across AWS, Google Cloud, and Microsoft Azure. **About Atlas Agent Engine** Atlas Agent Engine is an agent development platform built on Atlas. It helps enterprises build, deploy, and govern AI agents in production on top of real-time operational data—addressing gaps in memory, governance, and security with a unified foundation for execution, memory, and governance. **What you’ll do** - Work closely with research, product management, product engineering, product design, peers, and other teams to implement the first version and future evolution of the service - Design, build, and deliver well-tested core pieces of the platform - Contribute to architecture, code reviews, and development practices, and help shape developer experience as the teams and product grow - Mentor fellow engineers and take ownership and accountability for projects **Qualifications** - Strong background building core components for high-scale compute and data distributed systems - 5+ years building distributed systems and/or foundational cloud services at scale; interest in Go, Python, and TypeScript - Proven success designing, writing, testing, debugging, and performance tuning distributed and/or highly concurrent systems in large, long-lived codebases - Track record identifying problems, implementing solutions, and delivering complex projects in distributed systems or databases - Strong verbal and written technical communication skills and a desire to collaborate - **Bonus:** Experience with AI frameworks and tools; open standards such as MCP and A2A; multi-tenant security; enterprise authentication and identity management - Eager to learn with a strong technical background **Location / Work model** - Looking to speak with candidates **in the United States** (remote working model) **REQ ID:** 427014 **Compensation (U.S.)** - Base salary range: **$126,000 — $264,000 USD** - Note: Compensation at offer time varies by candidate factors; benefits may include equity, flexible paid time off, parental leave, fertility/adoption assistance, 401(k), mental health counseling, and health benefits (details apply to eligible U.S.-based candidates).
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