Investigate and resolve complex technical issues in customer environments
Troubleshoot across Linux, Kubernetes, cloud infrastructure, networking, storage, and GPU-related workloads
Support customers running containerized systems, inference workloads, training jobs, or other distributed platforms
Act as a senior escalation point for production incidents
Reproduce issues, narrow down root causes, and work with engineering on long-term fixes
Build or improve internal scripts, troubleshooting tools, and operational documentation
Help make support more scalable through better automation, observability, and process improvements
Communicate clearly with customers during active investigations and incidents
Take part in weekend coverage and urgent issue response

Strong Linux troubleshooting skills
Strong Kubernetes and container experience
Solid understanding of cloud infrastructure in AWS, GCP, Azure, OpenStack, or similar environments
Good networking fundamentals
Ability to write scripts or small tools in Python, Bash, Go, or similar
Experience working on production issues that require structured debugging and cross-team collaboration
Ability to work independently and stay effective when the path to resolution is not obvious
Clear written communication, especially when explaining technical issues to customers and internal teams

Customer Support Engineer

Key skills