Kubernetes +Terraform +Python

We are looking for a Senior Kubernetes Platform Engineer with 10+ years of infrastructure experience to design and implement the Zero-Touch Build, Upgrade, and Certification pipeline for our on-premises GPU cloud platform. This role focuses on automating the Kubernetes layer and its dependencies (e.g., GPU drivers, networking, runtime) 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 (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

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

Skills Required

Kubernetes, Terraform, Python