Kubernetes Engineer

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.

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