Software Engineer 3 (3+)
mongodb | 7 days ago | Grugram

  • Build, test, and ship MongoDB integrations across a broad AI framework ecosystem that includes technologies like LangChain, LangGraph, LlamaIndex, n8n, and Mastra
  • Own well-scoped projects end to end on weekly-to-quarterly timelines, taking responsibility for the scope, schedule, and quality of your own work and communicating progress and trade-offs clearly
  • Solve day-to-day technical problems with growing independence, using the team's established patterns and past practice to guide your decisions, and seeking guidance on non-standard problems
  • Contribute to exploratory work on new frameworks: help evaluate an integration's feasibility, build a first working version of the piece you own, and share what you learn with the team
  • Contribute high-quality code upstream to repositories MongoDB doesn't own, following the team's contribution practices and maintaining a high standard of professionalism and courtesy through external maintainer review cycles
  • Work within and improve the team's engineering practices: CI/CD, automated testing across framework and server versions, version compatibility checks, and release steps. Suggest improvements where you see repeated friction
  • Help keep the integrations you work on healthy: monitor for upstream breaking changes, handle upgrades, triage incoming issues, and follow through after release
  • Coordinate with adjacent teams, including DBX, when your work depends on driver, platform, or product capability, and escalate cross-team dependencies and risks early rather than working around them
  • Collaborate with product management, product design, and other partners to understand what users need from an integration and how your work connects to the team's objectives
  • Write clear documentation, give useful code reviews, share what you know with teammates, and follow through on your commitments
    • Develop specialized knowledge of the Python or TypeScript AI builder ecosystems — frameworks, agent and retrieval patterns, vector search — and bring interesting developments back to the team
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