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MongoDB

Technical Services Engineer

Palo AltoFrom $176kmidAdded 2 days ago

About this role

MongoDB seeks a Technical Services Engineer in Palo Alto to support enterprise customers with complex, mission-critical database challenges. You'll diagnose and resolve production issues across MongoDB deployments, combining deep Linux and database expertise with strong communication skills to keep critical systems running.

What you'll do

  • Provide technical support and troubleshooting for MongoDB deployments in production environments
  • Diagnose and resolve performance, availability, and stability issues across distributed systems
  • Analyze customer workloads and recommend deployment, sizing, and optimization strategies
  • Collaborate with customers during high-stakes incidents to minimize downtime
  • Document solutions and mentor teammates through knowledge articles and internal training
  • Advocate for customer needs to influence product priorities and improvements

What they're looking for

  • Linux systems administration and troubleshooting
  • Database administration (RDBMS and NoSQL)
  • Cloud platforms (AWS, Azure, or GCP)
  • Kubernetes or container orchestration
  • Networking fundamentals (TCP/IP, DNS, TLS, load balancers)
  • Distributed systems troubleshooting and log analysis
  • Basic scripting or coding
  • Security concepts (authentication, encryption, key management)
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MongoDB

MongoDB builds a cloud database platform (Atlas) and related tools that help enterprises operate MongoDB at scale, along with AI-powered migration and infrastructure management solutions. The company is hiring technical services engineers to support enterprise customers with complex database troubleshooting and infrastructure challenges, and software engineers to develop AI-powered code generation tools, Atlas management systems, and cloud product capabilities.

View all jobs at MongoDB

Likely interview questions

  • Walk us through a time you diagnosed a complex production issue across multiple systems—what was your approach and how did you communicate findings to stakeholders?
  • Describe your experience troubleshooting database performance problems. What tools and methods do you use to identify root causes?