HiringCafe
Posted 1mo ago

Support Engineering Intern

@ Rancher Government Solutions
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Reston or United States
RemoteInternship
Responsibilities:Shadow cases, Troubleshoot issues, Contribute knowledge
Requirements Summary:Pursuing CS/CE with AI/NLP coursework; strong Linux, scripting, and cloud-native basics; Python/Go/Bash; good communication.
Technical Tools Mentioned:Python, Go, Bash, Linux, Kubernetes, Docker
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Job Description

Job Title: Support Engineering Intern

Location: Remote (US Based)

Objective of the Role:

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 build 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


Required 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