Cloud Infrastructure Engineer

7 days ago

Salem, Tamil Nadu, India beBeeKubernetes Full time ₹ 2,29,06,250 - ₹ 2,59,72,500

Job Title: Kubernetes Platform Architect

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We are seeking an experienced Kubernetes Platform Architect to lead the design and implementation of 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.

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The ideal candidate will have hands-on experience with Kubernetes cluster management, Helm templating, Argo CD GitOps integration, Go/Python scripting, Containerd, and a deep understanding of CNI plugin ecosystems, network policies, and multi-tenant networking in Kubernetes.

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Key Responsibilities Include:

  1. ">
  2. Architect and implement GitOps-driven Kubernetes cluster lifecycle automation using tools like kubeadm, ClusterAPI, Helm, and Argo CD.">
  3. Develop and manage declarative infrastructure components for: GPU stack deployment (e.g., NVIDIA GPU Operator), container runtime configuration (Containerd), and networking layers (CNI plugins like Calico, Cilium, etc.).">
  4. Lead automation efforts to enable zero-touch upgrades and certification pipelines for Kubernetes clusters and associated workloads.">
  5. Maintain Git-backed sources of truth for all platform configurations and integrations.">
  6. Standardize deployment practices across multi-cluster GPU environments, ensuring scalability, repeatability, and compliance.">
  7. Drive observability, testing, and validation as part of the continuous delivery process (e.g., cluster conformance, GPU health checks).">
  8. Collaborate with infrastructure, security, and SRE teams to ensure seamless handoffs between lower layers (hardware/OS) and the Kubernetes platform.">
  9. Mentor junior engineers and contribute to the platform automation roadmap.">

Requirements:

  • ">
  • 8+ years of hands-on experience in infrastructure engineering, with a strong focus on Kubernetes-based environments.">
  • 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, and experience deploying and operating the NVIDIA GPU Operator or equivalent in production environments.">
  • 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.">

Preferred Qualifications:

  • ">
  • 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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