AI Infrastructure Engineer

Job Summary

We are seeking an AI Infrastructure Engineer who is passionate about enterprise infrastructure and eager to build expertise in modern AI platforms. You will design, deploy, integrate, and support enterprise infrastructure solutions while developing hands-on experience with GPU infrastructure, AI networking, storage, and automation.

Key Responsibilities

1. Infrastructure Deployment

* Install and configure Linux servers.

* Deploy virtualization platforms such as VMware, Proxmox, or Hyper-V.

* Deploy and maintain enterprise server and storage infrastructure.

* Support AI infrastructure implementation projects.

2. Platform Support

* Configure Docker containers.

* Support Kubernetes environments (training provided where required).

* Assist with infrastructure automation using Ansible.

* Perform system validation, troubleshooting, and optimization.

3. Customer Support

* Resolve infrastructure incidents.

* Perform firmware and software upgrades.

* Prepare implementation documentation and operational guides.

* Participate in proof-of-concepts and customer demonstrations.

4. Continuous Learning

* Stay updated with enterprise infrastructure and AI technologies.

* Participate in vendor certification programs.

* Build expertise in GPU infrastructure, AI networking, and AI platforms.

Requirements

Experience

* 2–5 years in infrastructure engineering, systems engineering, or Linux administration.

Technical Skills

* Linux administration

* VMware, Proxmox, Hyper-V, or similar virtualization platform

* Enterprise server hardware

* Basic storage concepts (RAID, NFS, iSCSI)

* Basic networking knowledge (TCP/IP, VLAN, routing)

* Docker fundamentals

* Scripting experience (Bash or Python) is an advantage