Rancher Government Solutions (RGS) is looking for a Support Engineering Intern for a hands-on, technical role. You will contribute to the team supporting our flagship cloud native products—Rancher, RKE2, and Harvester—while also building a proof-of-concept AI initiative aimed at improving support efficiency.
What You'll Do
- Shadow and collaborate on real support cases involving Rancher, RKE2, Harvester, and upstream Kubernetes
- Reproduce and troubleshoot customer issues in lab environments using containerized and virtualized infrastructure
- Contribute to internal knowledge base articles and runbooks
- Participate in daily standups, triage meetings, and retrospectives with the support team
- Design and build a proof-of-concept AI system using LLM APIs and retrieval-augmented generation (RAG) to surface relevant knowledge from internal documentation and case data
- Extend the PoC toward agentic AI experiments to evaluate autonomous workflows for ticket triage, routing, and escalation
- Measure impact via defined metrics and present PoC findings and a go-forward recommendation to engineering leadership
What We're Looking For
- Currently pursuing a B.S. or M.S. in Computer Science, Computer Engineering, or a closely related field
- Academic focus, concentration, or significant coursework in Artificial Intelligence, Machine Learning, or NLP
- Demonstrated understanding of cloud native concepts: containers, Kubernetes, microservices architectures, and basic virtualization
- Strong troubleshooting instincts—you enjoy debugging ambiguous problems and reasoning from first principles
- Scripting or programming experience (Python, Go, Bash)
Technical Stack
- Rancher
- RKE2
- Harvester
- Kubernetes
- LLM APIs
- Python
- Go
- Bash
Work Mode
This internship is remote and open to candidates located in the US.





