Cloud Infrastructure Specialist

1 week ago

Gandhinagar, Gujarat, India beBeeKubernetes Full time ₹ 20,00,000 - ₹ 25,00,000

About our clients, they engage with new technology paradigms to build solutions that solve pressing business challenges and move them to the forefront of their industry.

We are seeking a Senior Kubernetes Platform Engineer to design and implement the Zero-Touch Build, Upgrade, and Certification pipeline for our on-premises GPU cloud platform.

  • The role focuses on automating the Kubernetes layer and its dependencies using 100% GitOps workflows.
  • You will work across teams to deliver a fully declarative, scalable, and reproducible infrastructure stack—from hardware to Kubernetes and platform services.
Key Responsibilities:
  • Architect and implement GitOps-driven Kubernetes cluster lifecycle automation using tools like kubeadm, ClusterAPI, Helm, and Argo CD.
  • Develop and manage declarative infrastructure components for GPU stack deployment, container runtime configuration, networking layers, and more.
  • Lead automation efforts to enable zero-touch upgrades and certification pipelines for Kubernetes clusters and associated workloads.
  • Maintain Git-backed sources of truth for all platform configurations and integrations.
  • Standardize deployment practices across multi-cluster GPU environments, ensuring scalability, repeatability, and compliance.
  • Drive observability, testing, and validation as part of the continuous delivery process.

Required Skills & Experience:

  • 8+ years of hands-on experience in infrastructure engineering, with a strong focus on Kubernetes-based environments.
  • Kubernetes API, Helm templating, Argo CD GitOps integration, Go/Python scripting, Containerd.
  • Deep knowledge and hands-on experience with Kubernetes cluster management, Argo CD, Helm, Containerd, and NVIDIA GPU Operator.
  • Solid understanding of CNI plugin ecosystems, network policies, and multi-tenant networking in Kubernetes.
  • Strong GitOps mindset with experience managing infrastructure as code through Git-based workflows.
  • Experience building Kubernetes clusters in on-prem environments and scaling and managing multi-cluster, GPU-accelerated workloads.

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