Senior Kubernetes Platform Engineer

Job :

Senior Kubernetes Platform Engineer (Zero-Touch GPU Cloud GitOps Automation)

Senior Kubernetes Platform Engineer

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 (e.g.,

  NVIDIA GPU Operator

  )
• Container runtime configuration (

  Containerd

  )
• Networking layers (

  CNI plugins

  like Calico, Cilium, etc.)
• 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 (e.g., cluster conformance, GPU health checks).
• Collaborate with infrastructure, security, and SRE teams to ensure seamless handoffs between lower layers (hardware/OS) and the Kubernetes platform.
• Mentor junior engineers and contribute to the platform automation roadmap.

Required Skills & Experience

• 10+ 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
• Experience deploying and operating the

  NVIDIA GPU Operator

  or equivalent in production environments.
• 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 (vs. managed cloud services).
• Proven ability to scale and manage

  multi-cluster, GPU-accelerated workloads

  with high availability and security.
• Solid scripting and automation skills (Bash, Python, or Go).
• Familiarity with Linux internals, systemd, and OS-level tuning for container workloads.
• Bonus:
• 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