Technical Services Engineer

MongoDB Technical Services partners with customers to help them successfully run MongoDB in production.

The Role: MongoDB Technical Services Engineers use their exceptional problem-solving and customer service skills, along with their deep technical experience, to advise customers and solve their complex MongoDB ecosystem problems.

Cool things you’ll do: You’ll bring strong SQL (and/or NOSQL) and database fundamentals, a practical approach to technical problem-solving, and genuine curiosity about the trade-offs between performance and cost.

What you’ll do:

• Diagnose problems across application, database, network, storage, and infrastructure layers using logs, metrics, traces, query plans, and other diagnostic evidence
• Advise customers and prospects on data architecture, query performance, and practical ways to meet their performance and cost goals
• Be a trusted technical voice throughout evaluation and adoption, communicating trade-offs clearly to engineers and other stakeholders
• Bring customer feedback, recurring issues, and product gaps to Product and Engineering, and help turn those signals into improvements

What you’ll bring:

• 5+ years of proven experience
• Strong technical experience in more than one of the following areas:
• Strong SQL and hands-on experience diagnosing analytical database workloads, including interpreting query plans and investigating performance issues
• Hands-on experience working with databases, including diagnosing behavior and performance in real workloads
• Lead customers through production incidents end-to-end: triage, recovery planning, live communication, and post-incident root cause analysis
• Practical systems troubleshooting experience across Linux or comparable operating systems, networking, storage, compute, and clustered or distributed environments
• Troubleshoot and improve the ecosystem around the database: drivers, connectors, and integrations customers depend on
• Ability to design or assess customer workload evaluations and benchmarks, interpret results critically, and explain performance and cost trade-offs
• Guide customer migrations and onboarding, from workload analysis and data model design through data validation and go-live
• Strong written and verbal communication, customer empathy, and ownership through to resolution

Helpful experience:

• Scripting or automation with Python or Bash; working with APIs, SDKs, or database drivers
• Familiarity with cloud data platforms and object storage; Docker or Kubernetes exposure
• Experience with analytical databases or data warehouses, including columnar storage, indexing or partitioning, query optimization, and data ingestion
• Experience supporting database migrations, production operations, or customer-facing technical support
• Familiarity with scripting or automation and with AI-assisted support workflows
• Experience in pre-sales, consulting engineering, or a customer-facing engineering role is a plus
• Ability to understand customer goals and workloads, explain technical trade-offs clearly, and recommend practical solutions is valued

Success Measures:

• In 3 months, build working knowledge of the platform, tools, support processes, and customer workloads through structured training and case shadowing
• In 6 months, you will be comfortable working frontline with our customers. You will also complete the MongoDB Certified DBA Associate exam
• In 12 months, you will work on gaining expertise to be a part of a technical experts group within the MongoDB ecosystem and will be helping your peer engineers in advance diagnostics. Also, you will be encouraged to handle technical escalations independently