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Support Engineering Intern

Support Engineering Intern

locationHerndon, VA 20190, USA
PublishedPublished: 3/12/2026
Engineering
Full Time

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