19 days ago
Mexico City, MexicoSenior
Responsibilities
- Support customers and internal stakeholders working with AI applications and agentic workflows.
- Investigate issues involving LangGraph execution, MCP and tool integrations, model-provider behavior, memory, checkpoints, streaming, retries, and timeouts.
- Read and debug Go, TypeScript, and Python services, SDKs, and agent implementations.
- Troubleshoot Docker and Kubernetes workloads, including deployments, containers, networking, secrets, resource failures, and configuration.
- Use logs, metrics, traces, and application errors to identify root causes.
- Troubleshoot MongoDB Atlas connectivity, authentication, TLS, network access, indexing, and vector-search issues.
- Reproduce customer problems, develop workarounds, and drive issues through resolution.
- Communicate clearly with customers during complex or high-impact incidents.
- Create knowledge articles, troubleshooting guides, diagnostic scripts, and reusable runbooks.
- Partner with Engineering, Product, Security, and Technical Services teams on escalations and product improvements.
- Contribute to MongoDB database and cloud support cases when needed.
Requirements
- Typically 5+ years of relevant technical experience or equivalent demonstrated expertise.
- Hands-on experience building or troubleshooting agentic AI applications and workflows, including LangGraph, A2A, MCP, tool calling, model-provider integrations, memory, checkpoints, streaming, and human-in-the-loop workflows.
- Ability to read and debug Go, TypeScript, and Python services, SDKs, and agent workflows.
- Experience troubleshooting Docker and Kubernetes deployments, containers, networking, secrets, resource management, and deployment configuration.
- Familiarity with REST/JSON APIs, streaming protocols, API keys, OAuth/JWT, RBAC, and service accounts.
- Experience using metrics, events, logs, traces, error monitoring, and alerting to diagnose production issues.
- Experience investigating distributed-system issues across application, platform, and data layers and driving them through resolution.
- Preferred experience with MongoDB, MongoDB Atlas, Atlas Vector Search, Voyage AI, or another distributed database.
- Preferred experience with AWS, Azure, or GCP cloud services.
- Preferred experience with Terraform, GitHub Actions, CodeBuild, Helm, operators, container registries, or advanced Kubernetes networking.
- Ability to communicate clearly with customers, engineers, and cross-functional partners.
Benefits
- Hybrid working model for candidates based in Mexico City.
- Employee affinity groups, fertility assistance, and generous parental leave policy.
- Workplace accommodations are available for individuals with disabilities during the application and interview process.
Tech Stack
Categories
Solutions Engineering
About MongoDB
MongoDB builds the MongoDB document database and the MongoDB Atlas cloud database service for application developers and enterprises. Its business model centers on cloud consumption (Atlas), commercial subscriptions, and support, with tooling for migration, synchronization, and disaster recovery across on‑prem and multi‑cloud environments. Founded in 2007 and headquartered in New York, it is a public company listed on NASDAQ and widely used across industries worldwide.