Lead Cloud Platform Developer

7 days ago

Tirupati, Andhra Pradesh, India beBeeKubernetes Full time ₹ 1,80,00,000 - ₹ 2,50,00,000

About this Role: A Senior Kubernetes Platform Engineer is required to design and implement a Zero-Touch Build Upgrade Certification pipeline on-premises GPU cloud platform, automating the Kubernetes layer dependencies using GitOps workflows.

Key Responsibilities:

  • Achieve scalability by architecting and implementing GitOps-driven Kubernetes cluster lifecycle automation tools such as kubeadm, ClusterAPI, and Helm. Develop and manage declarative infrastructure components for GPU stack deployment including NVIDIA GPU Operator, container runtime configuration, Containerd networking layers, CNI plugins like Calico and Cilium, etc.
  • Drive automation efforts to enable zero-touch upgrades and certification pipelines for Kubernetes clusters associated with 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, validation, and continuous delivery process for cluster conformance and GPU health checks.
  • Collaborate with infrastructure security SRE teams to ensure seamless handoffs and lower-layer hardware, OS, and Kubernetes platform optimization. Mentor junior engineers and contribute to the platform automation roadmap.

Requirements:

  • 10+ years of hands-on experience in infrastructure engineering with a strong focus on Kubernetes-based environments.
  • Primary key skills required include Kubernetes API, Helm templating, Argo CD, GitOps integration, Go/Python scripting, Containerd, and deep knowledge of hands-on experience in Kubernetes cluster management (kubeadm, ClusterAPI), Argo CD, GitOps-based delivery, Helm application cluster add-on packaging, Containerd container runtime integration, GPU workloads, and experience deploying and operating NVIDIA GPU Operator in production environments.
  • Solid understanding of CNI plugin ecosystems, network policies, multi-tenant networking in Kubernetes, and strong GitOps mindset experience managing infrastructure code in Git-based workflows.
  • Experience building Kubernetes clusters on-premises environments managed cloud services and proven ability to scale and manage multi-cluster GPU-accelerated workloads with high availability and security.
  • Solid scripting and automation skills in Bash, Python, or Go, familiarity with Linux internals, systemd, OS-level tuning, container workloads, and bonus points for experience in custom controllers, operators, Kubernetes API extensions, contributions to Kubernetes CNCF projects, exposure to service meshes, ingress controllers, workload identity providers, etc.

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