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Job Overview

As a Senior Technical Services Engineer, you will provide technical leadership for customers operating AI applications on a new MongoDB platform.

Key points

  1. Owning complex and high-impact customer investigations involving AI applications and agentic workflows.

  2. Leading structured investigations, root-cause analysis, and recovery efforts across multiple technical layers.

  3. Leading investigations into agent workflows, tool calls, model-provider integrations, memory, checkpoints, streaming, retries, and timeouts.

  4. Reading and debugging Go, Typescript, Python services and agent implementations; using logs, metrics, traces, and diagnostic tooling to develop evidence-based conclusions.

  5. Hands-on experience building or troubleshooting agentic AI applications, including LangGraph, A2A, MCP, tool calling, model-provider integrations, memory, checkpoints, streaming, and human-in-the-loop workflows.

  6. Programming and systems troubleshooting: Ability to read and debug Go, TypeScript, and Python services, SDKs, and agent workflows, including asynchronous execution, HTTP clients…

  7. Cloud-native platforms: Experience with Docker and Kubernetes, including deployments, containers, networking, secrets, resource management, and deployment troubleshooting.

  8. API, identity, and security: Familiarity with REST/JSON APIs, streaming protocols, API keys, OAuth/JWT, RBAC, and service accounts.

Skills

MongoDBTroubleshootingKubernetesCommunicationPythonTypeScriptAWSAzure

Experience: Senior-level · 8+ years

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