Expert Infrastructure Architect for Hybrid Cloud Environments

2 days ago

Kota, Rajasthan, India beBeeKubernetes Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Senior Kubernetes Platform Engineer

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

This role will focus on automating the Kubernetes layer and its dependencies (e.g., GPU drivers, networking, runtime) using 100% GitOps workflows. You will collaborate across teams to deliver a fully declarative, scalable, and reproducible infrastructure stack—from hardware to Kubernetes and platform services.

  • 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 (e.g., NVIDIA GPU Operator)
  • Container runtime configuration (Containerd)
  • Networking layers (CNI plugins like Calico, Cilium, etc.)

Key Responsibilities Include:

  1. Maintain Git-backed sources of truth for all platform configurations and integrations.
  2. Standardize deployment practices across multi-cluster GPU environments, ensuring scalability, repeatability, and compliance.
  3. Drive observability, testing, and validation as part of the continuous delivery process (e.g., cluster conformance, GPU health checks).
  4. Collaborate with infrastructure, security, and SRE teams to ensure seamless handoffs between lower layers (hardware/OS) and the Kubernetes platform.

Required Skills & Qualifications:

  • 8+ years of hands-on experience in infrastructure engineering, with a strong focus on Kubernetes-based environments.
  • Primary key skills required are Kubernetes API, Helm templating, Argo CD GitOps integration, Go/Python scripting, Containerd
  • 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

The ideal candidate will possess a solid understanding of CNI plugin ecosystems, network policies, and multi-tenant networking in Kubernetes. Additionally, they should have a strong GitOps mindset with experience managing infrastructure as code through Git-based workflows.

The opportunity to scale and manage multi-cluster, GPU-accelerated workloads with high availability and security is also a must.

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