Technical Services Engineer providing customer support for MongoDB infrastructure, Kubernetes deployments, and disaster recovery. Requires 5+ years cloud/on-prem infrastructure experience and 1+ years direct customer support.
90k – 176k
Hybrid5+ YOESupport Engineering
About the role
Cool things you’ll do
Work with the largest and most demanding customers to drive successful implementations of MongoDB Server, MongoDB Search, and managed backups on Kubernetes platforms
Work on customer use cases, evaluating solutions, customer business pain points, application architectures, and Cloud infrastructure configurations
Collaborate with enterprise customers to design, implement, and troubleshoot backup strategies for massive production environments—scaling to petabytes of data—while ensuring high availability, disaster recovery readiness, and compliance with retention requirements
Provide product feedback to shape the roadmap of products, tooling, and the core database
What You Need/What we are looking for
Patience, empathy, and a genuine desire to help others
Excellent communication skills, both written and verbal, with internal and external stakeholders
The ability to think on your feet, remain calm under pressure, and find solutions to challenges in real-time
Strong diagnostic/troubleshooting aptitude, with significant experience troubleshooting end-to-end technical issues in production environments
Full understanding of Linux systems and networking concepts, including firewalls, load balancers, performance tuning, storage management
1+ years of experience in a Support role working directly with customers
2+ years of experience with administering RDBMSs such as Oracle, Postgres, mySQL etc. (MongoDB experience is preferred)
3+ years or more of combined experience in the following technical domains:
Experience operating in and managing Kubernetes clusters
Experience with DevOps practices and Infrastructure-as-code
5+ years of mixed experience with Cloud (AWS, GCP, Azure) and on-prem infrastructure administration in a production environment
Bonus Points
Experience with AI topics, development, and supporting technologies such as Vector Search
Experience managing large-scale databases (RDBMS or NoSQL or both) and monitoring them via products like Prometheus or Grafana
Experience with specific MongoDB products like Ops Manager, Cloud Manager, Atlas, Kubernetes Operator/Controller
Experience coding in one or more of Python, Java, Go, Ruby, C, C++
Experience with personal test labs and reproducing issues locally to drive resolution of issues
Experience working on weekends or outside of typical business hours
Success Measures
In 3 months: complete New Hire Training and gain a deep understanding of MongoDB and its ecosystem
In 6 months or less: comfortable working frontline with customers, transition to weekends, complete the MongoDB Certified DBA Associate exam
In 12 months or less: become a technical specialist within MongoDB, help peer engineers in advanced diagnostics, handle technical escalations independently
Skills
LinuxKubernetesAWSGCPAzureDevOpsInfrastructure As CodeDisaster RecoveryBackup ManagementNetworking
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