About The Position

Elire is seeking advanced students for its Summer 2027 AI Infrastructure & Networking Consulting internship program. This program offers hands-on exposure to applied AI in a real consulting environment, focusing on practical problem-solving, technical judgment, and developing usable solutions. The internship will concentrate on the cloud, networking, security, and cluster infrastructure essential for supporting AI workloads. This role is ideal for a technically advanced Master's or PhD student with practical knowledge of virtual cloud networking, network security, and deploying/scaling containerized clusters like Kubernetes (K8s) or RKE2. The intern will be expected to reason through infrastructure decisions, troubleshoot issues, and help design secure, scalable, and supportable environments.

Requirements

  • Currently pursuing an Undergraduate, Master's or PhD in Computer Science, Information Technology, Cybersecurity, Network Engineering, Cloud Computing, Engineering, or a closely related technical field.
  • Strong understanding of networking fundamentals including IP addressing, subnets, routing, DNS, connectivity, and network security concepts.
  • Hands-on knowledge of virtual cloud networking / VCN concepts and cloud infrastructure.
  • Experience with Kubernetes (K8s), RKE2, or comparable container-orchestration technologies.
  • Understanding of cluster deployment, scaling, availability, and troubleshooting concepts.
  • Strong critical thinking and problem-solving skills; able to diagnose technical issues and make reasoned infrastructure recommendations.
  • Ability to document architectures, configurations, issues, and technical decisions clearly and professionally.

Nice To Haves

  • Hands-on experience with Oracle Cloud Infrastructure (OCI), including VCNs and related networking/security services.
  • Exposure to AWS, Azure, GCP, Linux administration, containers, Docker, or infrastructure-as-code tooling.
  • Experience with CI/CD, GitOps, DevOps, observability, monitoring, or automated deployment practices.
  • Exposure to infrastructure requirements for AI/ML workloads, data platforms, or GPU/compute-intensive environments.
  • Prior research, lab, internship, or project experience involving cloud infrastructure, networking, Kubernetes, or security.

Responsibilities

  • Support the design, configuration, testing, and documentation of infrastructure used for Elire AI prototypes and internal solutions.
  • Work with virtual cloud network (VCN) concepts including subnets, routing, connectivity, segmentation, and related network architecture.
  • Evaluate and support network security controls, access patterns, firewall/security rules, and secure connectivity requirements.
  • Deploy, configure, troubleshoot, and scale containerized environments and clusters using Kubernetes (K8s), RKE2, or comparable technologies.
  • Assess infrastructure capacity, availability, performance, and scaling considerations for AI and data workloads.
  • Support automation and repeatable environment configuration using appropriate cloud, DevOps, or infrastructure tooling.
  • Investigate infrastructure and networking issues, test solutions, and document root causes, tradeoffs, and recommendations.
  • Collaborate with Elire AI and technical leaders and present technical findings or a final project at the end of the internship.

Benefits

  • Paid internship
  • Professional development focused on critical thinking, communication, problem-solving, and client-ready delivery.
  • Opportunity to own meaningful work and present findings or a final project at the end of the internship.
  • Potential consideration for an internship extension based on business need and performance; an extension may be remote.
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