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MongoDB

Software Engineer 3

United StatesFrom $215kmidAdded today

About this role

MongoDB is seeking a Software Engineer 3 to build developer tooling and quality infrastructure for AI agents, including evaluation systems, CLI tools, CI/CD integration, and safety gates. You'll own the platform layer for authoring, distributing, and improving agent skills across the organization.

What you'll do

  • Build and maintain agent skills infrastructure, validation frameworks, and publishing pipelines
  • Design evaluation datasets and workflows that measure agent behavior against baselines and generate quality signals
  • Develop agent metrics and observability systems for skill routing, outcomes, tool calls, latency, and token usage
  • Create safety and quality gates for agent-authored content using rule packs, static analysis, and confidence thresholds
  • Build CLIs, libraries, and MCP integrations adopted across repositories for local development and CI
  • Investigate production failures and convert findings into reusable improvements and anti-pattern detection

What they're looking for

  • Production software development and internal platforms
  • CLI and library design for developer usability
  • Test infrastructure, static analysis, and CI/CD workflows
  • API design with strong error handling and maintainability
  • System design for correctness with ambiguous or nondeterministic inputs
  • Go, Python, JavaScript/TypeScript, Java, or C#
  • GitHub Actions and secrets management
  • LLM evaluation harnesses and quality metrics (nice to have)
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MongoDB

MongoDB builds a cloud database platform (Atlas) and related tools that help enterprises operate MongoDB at scale, along with AI-powered migration and infrastructure management solutions. The company is hiring technical services engineers to support enterprise customers with complex database troubleshooting and infrastructure challenges, and software engineers to develop AI-powered code generation tools, Atlas management systems, and cloud product capabilities.

View all jobs at MongoDB

Likely interview questions

  • Describe a time you built developer tooling or internal platform that gained adoption across teams—what made it successful?
  • How would you approach designing an evaluation system that distinguishes true improvements from noise in agent behavior?