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Kubernetes Engineer

Unlock employer Riyadh, Saudi Arabia Posted: 24 Jul 2025

Financial

  • Estimate: $40k - $60k*
  • Zero income tax location

Accessibility

  • Office Only
  • Apply from abroad
  • Visa Provided

Requirements

  • Experience: Intermediate
  • English: Professional

Position

Penta Consulting is a technology service provider and leading outsourced partner helping to deliver professional and managed solutions across EMEA. We are looking for a brilliant Kubernetes Orchestration Engineer to architect GPU-optimized container environments that power some of the most demanding AI/ML and hypercomputing workloads on the planet. If scaling clusters, orchestrating distributed training across GPUs, and building automation for high-performance AI infrastructure sounds like your playground—you’ll feel right at home here.

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Location: Riyadh, Saudi Arabia (On-site)
Work Conditions:

  • Full-time
  • On-site

Your Mission:
As a pivotal member of our infrastructure engineering team, you'll drive orchestration strategies and optimize GPU workloads across on-prem and hybrid cloud platforms. Your expertise will empower data scientists and machine learning engineers to scale models across fleets of GPUs with precision and reliability.

What You'll Tackle:

  • Deploy and manage production-grade Kubernetes clusters for GPU-intensive AI workloads
  • Create GPU node pools with NVIDIA Device Plugin, CRI-O, and GPU-aware runtimes
  • Orchestrate distributed training with Kubernetes and ML frameworks like PyTorch and Hugging Face
  • Build Kubernetes Operators for scaling, health checks, and service lifecycle automation
  • Use Helm charts for rapid deployment and scaling of GPU-accelerated services
  • Integrate monitoring tools (Prometheus, Grafana, Kibana) for GPU and pod metrics
  • Configure and optimize CNI plugins like Calico, Flannel, or Cilium
  • Collaborate across DevOps, infrastructure, and ML teams on hybrid/multi-cloud deployments

What You Bring:

  • Proven production experience with Kubernetes orchestration and GPU workloads
  • Strong knowledge of container runtimes (Docker, CRI-O), Helm, and Operators
  • Networking prowess in Kubernetes, including service meshes (Istio, Linkerd)
  • Experience with platforms like GKE, EKS, or AKS
  • Fluent in YAML, Bash, and Python—automation is second nature

Preferred Credentials:

  • CKA (Certified Kubernetes Administrator) – Required
  • CKAD (Certified Kubernetes Application Developer) – Preferred
  • NVIDIA Certified Kubernetes Specialist – Nice to have
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