Senior Technical Services Engineer
Core
Senior Technical Services Engineer providing technical leadership and troubleshooting for customers operating AI applications on a MongoDB platform.
Role type
Senior individual contributor technical services engineer (AI/ML)
Builds
AI application workflows, orchestration, model and tool integrations, cloud infrastructure, data services, and observability
Domain
AI/ML, Cloud Infrastructure, Distributed Systems
Deliverable
production ML models
Required skills
AI and agent platforms (LangGraph, A2A, MCP, tool calling, model-provider integrations), Programming and systems troubleshooting (Go, TypeScript, Python), Cloud-native platforms (Docker, Kubernetes), API and security (REST/JSON, OAuth/JWT, RBAC), Observability and incident response, Distributed-systems troubleshooting
Preferred skills
MongoDB/MongoDB Atlas, Cloud services (AWS, Azure, GCP), Control/Data-plane architecture, CI/CD (Terraform, GitHub Actions), Advanced Kubernetes networking
Responsibilities
Owning complex and high-impact customer investigations involving AI applications and agentic workflows, Leading structured investigations, root-cause analysis, and recovery efforts across multiple technical layers, Leading investigations into agent workflows, tool calls, model-provider integrations, memory, checkpoints, streaming, retries, and timeouts, Reading and debugging Go, Typescript, Python services and agent implementations, Troubleshoot Kubernetes and containerized workloads, Creating and improving troubleshooting methodologies, knowledge articles, diagnostic scripts, and reusable runbooks, Mentoring and coaching engineers in AI fundamentals, cloud-native operations, customer communication, and troubleshooting methodology
Seniority
Senior, hands-on IC
