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Support Engineering Intern

OtherEngineering Intern
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Quick Summary

Overview

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.

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…

Requirements Summary

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…

Technical Tools
gokubernetespythonlinuxmachine-learningmicroservices

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 

Location & Eligibility

Where is the job
Reston, United States
On-site at the office
Who can apply
US

Listing Details

Posted
March 10, 2026
First seen
May 6, 2026
Last seen
May 8, 2026

Posting Health

Days active
0
Repost count
0
Trust Level
4%
Scored at
May 6, 2026

Signal breakdown

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Unknown CompanySupport Engineering Intern