GPU Cloud Platform Engineer

3 days ago

Madurai, Tamil Nadu, India beBeeKubernetes Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Job Overview

We are seeking a seasoned Kubernetes Platform Engineer to join our team. As a key member, you will design and implement the Zero-Touch Build, Upgrade, and Certification pipeline for our on-premises GPU cloud platform.

Your primary goal will be to standardize deployment practices across multi-cluster GPU environments, ensuring scalability, repeatability, and compliance.

, Key Responsibilities
  • Cluster Automation: Architect and implement GitOps-driven Kubernetes cluster lifecycle automation using tools like kubeadm, ClusterAPI, Helm, and Argo CD.
  • Infrastructure Management: Develop and manage declarative infrastructure components for: GPU stack deployment (e.g., NVIDIA GPU Operator), Container runtime configuration (Containerd), Networking layers (CNI plugins like Calico, Cilium, etc.).
  • Pipeline Development: Lead automation efforts to enable zero-touch upgrades and certification pipelines for Kubernetes clusters and associated workloads.
  • Platform Maintenance: Maintain Git-backed sources of truth for all platform configurations and integrations.
  • Quality Assurance: Drive observability, testing, and validation as part of the continuous delivery process (e.g., cluster conformance, GPU health checks).
, Requirements
  • Kubernetes Expertise: 8+ years of hands-on experience in infrastructure engineering, with a strong focus on Kubernetes-based environments.
  • Technical Skills: Primary key skills required are Kubernetes API, Helm templating, Argo CD GitOps integration, Go/Python scripting, Containerd.
  • Experience: Deep knowledge and hands-on experience with Kubernetes cluster management (kubeadm, ClusterAPI), Argo CD for GitOps-based delivery, Helm for application and cluster add-on packaging, Containerd as a container runtime and its integration in GPU workloads.

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