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SUSE RGS

Rancher Government Solutions (RGS) is specifically designed to address the unique security and operational needs of the U.S. Government and military as it relates to application modernization, containers, and Kubernetes. Rancher is a complete open-source software stack for teams adopting containers. It addresses the operations and security challenges of managing multiple Kubernetes clusters at scale, while providing DevOps teams with integrated tools for running containerized workloads. RGS supports all Rancher products with U.S. based American citizen with the highest security clearances who are currently supporting programs across the Department of Defense, Intelligence Community, and civilian agencies.

Support Engineering Intern

Location

United States

Posted

130 days ago

Salary

0

Seniority

Entry Level

No structured requirement data.

Job Description

Support Engineering Intern

SUSE RGS

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description RGS is seeking a driven and curious Summer Support Engineering Intern to join the team responsible for supporting our flagship cloud native products — Rancher, RKE2, and Harvester. This is a hands-on, technical internship at the intersection of enterprise support engineering, DevSecOps, and cutting-edge AI innovation. As a Support Engineering Intern at RGS, you will carry a dual mission of contributing to real-world support cases and building a proof of concept initiative to bring AI capabilities into our support workflow, a project with measurable impact on support team efficiency and time to resolution. Key Responsibilities: - 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 support documentation, runbooks, and historical case data - Extend the PoC toward agentic AI experiments — evaluating autonomous, multi-step workflows for support ticket triage, case routing, and escalation recommendations - Measure impact via defined metrics and present PoC findings and a go-forward recommendation to engineering leadership at end of internship Qualifications - 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) - Comfortable working in Linux environments and using CLI tools daily - Strong written and verbal communication skills

Job Requirements

  • 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)
  • Comfortable working in Linux environments and using CLI tools daily
  • Strong written and verbal communication skills

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