MongoDB
Technical Services Engineer
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)
Opens the official application on the employer’s site. No login required.
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.
- Website
- mongodb.com
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?