AI Infrastructure & Networking Intern — Cloud, Kubernetes

Elire

Minneapolis (MN)

Hybrid

USD 28,000 - 41,000

Full time

14 days+

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Job summary

Elire invites ambitious students for a Summer 2027 AI Infrastructure & Networking Consulting Internship in Minneapolis. You will gain hands-on exposure to applied AI in a real consulting setting, focusing on cloud networking, security, and scalable containerized infrastructure.

Ideal candidates are Master's/PhD students with practical VCN concepts, Kubernetes, and cloud experience who can document architectures and collaborate with senior staff. Hybrid, paid internship June–August 2027.

Qualifications

  • Currently pursuing Undergraduate, Masters, PhD in a technical field.
  • Strong networking fundamentals: IP, subnets, routing, DNS, security.
  • Hands-on with virtual cloud networking and cloud infra.
  • Experience with Kubernetes or similar container orchestration.
  • Ability to deploy, scale, and troubleshoot clusters and infra.
  • Clear documentation of architectures and decisions.

Responsibilities

  • Assist design, configure, test, and document AI infra and internal solutions.
  • Work with virtual cloud network concepts: subnets, routing, connectivity, segmentation.
  • Evaluate network security controls and secure connectivity requirements.
  • Deploy and scale containerized environments using Kubernetes or RKE2.
  • Assess capacity, performance, and scaling for AI/data workloads.
  • Support automation and repeatable environment config using cloud tools.
  • Investigate issues, test solutions, and document root causes.
  • Collaborate with Elire AI leaders and present findings at internship end.

Skills

Networking fundamentals
Kubernetes (K8s)
Cloud infrastructure
Containerization
Documentation

Education

CS/IT/Engineering student

Tools

Kubernetes (K8s)
RKE2
Terraform / IaC
Docker
OCI
AWS
Azure
GCP

Job description

Elire invites ambitious students for a Summer 2027 AI Infrastructure & Networking Consulting Internship in Minneapolis. You will gain hands-on exposure to applied AI in a real consulting setting, focusing on cloud networking, security, and scalable containerized infrastructure.

Ideal candidates are Master's/PhD students with practical VCN concepts, Kubernetes, and cloud experience who can document architectures and collaborate with senior staff. Hybrid, paid internship June–August 2027.

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