AI On-Prem Platform Engineer (Kubernetes & GPU)

Evollabs Tech

Dubai Emirate

On-site

AED 300,000 - 520,000

Full time

14 days+
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Job summary

Evoirlabs Tech is seeking a senior DevOps/Platform Engineer to own on‑prem AI/enterprise infrastructure. You will design and operate Kubernetes clusters, manage servers and networks, and enable CI/CD with robust pipelines.

This role emphasizes security in air‑gapped environments, IAM, and hardware lifecycle management for data‑center workloads. You will collaborate with platform ML teams, security, and site operations to deliver reliable, scalable systems.

Qualifications

  • 5+ years in DevOps, SRE, or Platform Engineering with hands-on ownership of on‑prem environments.
  • Strong Linux systems engineering and kernel/tuning knowledge.
  • Experience with on‑prem hardware, data center operations, and hardware lifecycle management.
  • GPU hardware experience and driver/firmware familiarity.
  • Experience securing air‑gapped environments and IAM controls.

Responsibilities

  • Design and operate on‑prem infrastructure as code (Terraform/Ansible/Helm) with GitOps workflows.
  • Build and run multi‑tenant Kubernetes clusters for AI workloads.
  • Administer servers, networks, DNS/DHCP/NTP, and secret management.
  • Enable CI/CD with scalable, reproducible pipelines (GitLab CI, etc.).
  • Implement observability with Prometheus/Grafana and define SLOs.
  • Plan backup, DR, and site failover procedures.

Skills

Kubernetes
Linux
Python
Bash
GitOps
CI/CD
Proxmox
Networking
Terraform
Ansible

Tools

Terraform
Ansible
Helm
GitLab CI
GitHub Actions
Jenkins
Docker
Kubernetes
Proxmox

Job description

Evoirlabs Tech is seeking a senior DevOps/Platform Engineer to own on‑prem AI/enterprise infrastructure. You will design and operate Kubernetes clusters, manage servers and networks, and enable CI/CD with robust pipelines.

This role emphasizes security in air‑gapped environments, IAM, and hardware lifecycle management for data‑center workloads. You will collaborate with platform ML teams, security, and site operations to deliver reliable, scalable systems.

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