Kubernetes Systems Automation Specialist

1 day ago

Erode, Tamil Nadu, India beBeePlatform Full time ₹ 19,10,400 - ₹ 24,16,000
Job Description:

Senior Kubernetes Platform Engineer is responsible for designing and implementing the Zero-Touch Build, Upgrade, and Certification pipeline for on-premises GPU cloud platforms.

  • Develop and manage declarative infrastructure components for GPU stack deployment, container runtime configuration, networking layers, and lead automation efforts to enable zero-touch upgrades and certification pipelines.
  • Implement GitOps-driven Kubernetes cluster lifecycle automation using tools like kubeadm, ClusterAPI, Helm, and Argo CD.
Required Skills & Qualifications:
  • 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, 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.
  • 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.

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, container runtime configuration, networking layers, and lead automation efforts to enable zero-touch upgrades and certification pipelines.
  • Maintain Git-backed sources of truth for all platform configurations and integrations, standardize deployment practices across multi-cluster GPU environments.
  • Drive observability, testing, and validation as part of the continuous delivery process, collaborate with infrastructure, security, and SRE teams to ensure seamless handoffs between lower layers and the Kubernetes platform.
  • Mentor junior engineers and contribute to the platform automation roadmap.
Benefits

This role offers the opportunity to work on cutting-edge technology, collaborate with a team of experts, and contribute to the development of innovative solutions. If you have experience in Kubernetes-based environments and are passionate about automating complex systems, this might be the perfect opportunity for you.

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