3 days ago
Mexico City, MexicoSenior
Responsibilities
- Diagnose customer problems across application, database, network, storage, and infrastructure layers using logs, metrics, traces, query plans, and other evidence.
- Advise customers and prospects on data architecture, query performance, workload design, and performance-cost trade-offs.
- Lead production incidents through triage, recovery planning, live communication, and post-incident root cause analysis.
- Guide customer migrations and onboarding from workload analysis and data model design through validation and go-live.
- Troubleshoot database drivers, connectors, integrations, and surrounding ecosystem components.
- Design or assess workload evaluations and benchmarks and interpret their results critically.
- Communicate customer feedback, recurring issues, and product gaps to Product and Engineering teams.
- Contribute to AI-enabled support infrastructure and help peer engineers with advance diagnostics and technical escalations.
Requirements
- 5+ years of proven experience in a technical services, database, production operations, support, consulting engineering, or related customer-facing engineering role.
- Strong SQL and/or NoSQL and database fundamentals, including hands-on diagnosis of real-world database workloads and performance issues.
- Experience interpreting query plans and troubleshooting analytical database workloads, data warehouses, or distributed environments.
- Practical troubleshooting experience across Linux or comparable operating systems, networking, storage, compute, and clustered systems.
- Experience leading customers through production incidents and explaining technical trade-offs clearly to engineers and other stakeholders.
- Ability to guide migrations, onboarding, workload evaluations, benchmarking, data validation, and go-live activities.
- Strong written and verbal communication, customer empathy, ownership through resolution, curiosity, and a practical problem-solving approach.
- Helpful experience with Python or Bash scripting, APIs, SDKs, database drivers, cloud data platforms, object storage, Docker, Kubernetes, analytical databases, data ingestion, and AI-assisted support workflows.
- Self-taught and multifaceted candidates are considered.
Benefits
- Hybrid working model for candidates based in Mexico.
- Structured training and case shadowing during the first three months.
- Opportunity to complete the MongoDB Certified DBA Associate exam within the first six months.
- Employee affinity groups, fertility assistance, generous parental leave, and disability accommodations during the application and interview process.
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.