Expert Kubernetes Infrastructure Engineer

2 weeks ago

Agra, Uttar Pradesh, India beBeeKubernetes Full time ₹ 30,00,000 - ₹ 45,00,000
Job Title: Experienced Kubernetes Platform Developer

About the Role:

  • We are seeking an expert in Kubernetes infrastructure engineering to join our team.

This is a key position that will be responsible for designing and implementing GitOps-driven Kubernetes cluster lifecycle automation using tools like kubeadm, ClusterAPI, Helm, and Argo CD.

Key Responsibilities:

  1. Develop declarative infrastructure components for GPU stack deployment, container runtime configuration, networking layers, and other dependencies.
  2. Lead efforts to enable zero-touch upgrades and certification pipelines for Kubernetes clusters and associated workloads.
  3. Maintain sources of truth for all platform configurations and integrations.
  4. Standardize deployment practices across multi-cluster environments.
  5. Drive observability, testing, and validation in the continuous delivery process.
  6. Collaborate with infrastructure, security, and SRE teams to ensure seamless handoffs.
  7. Mentor junior engineers and contribute to the platform automation roadmap.

Required Skills & Qualifications:

  • 8+ years of hands-on experience in infrastructure engineering, with a strong focus on Kubernetes-based environments.
  • Primary 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, Argo CD, Helm, Containerd, NVIDIA GPU Operator, 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.
  • Proven ability to scale and manage multi-cluster, GPU-accelerated workloads with high availability and security.

Preferred Skills:

  • Experience with custom controllers, operators, or Kubernetes API extensions.
  • Contributions to Kubernetes or CNCF projects.
  • Exposure to service meshes, ingress controllers, or workload identity providers.

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