Kubernetes System Architect

1 week ago

Salem, Tamil Nadu, India beBeeEngineer Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Senior Kubernetes Engineer

We are seeking a highly skilled Senior Kubernetes Engineer to join our team. This is an exciting opportunity for someone who is passionate about designing and implementing scalable, secure, and efficient cloud-based systems.

Key Responsibilities:

  • Design and implement robust, scalable, and secure Kubernetes clusters using industry-leading tools and technologies.
  • Develop and maintain complex infrastructure components, including container runtime configuration, networking layers, and more.
  • Collaborate with cross-functional teams to ensure seamless integration between lower layers and the Kubernetes platform.
  • Drive observability, testing, and validation as part of the continuous delivery process.
  • 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 are Kubernetes API, Helm templating, Argo CD GitOps integration, Go/Python scripting, Containerd, and more.
  • Deep knowledge and hands-on experience with Kubernetes cluster management, Argo CD for GitOps-based delivery, Helm for application and cluster add-on packaging, and Containerd as a container runtime.
  • 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, scaling and managing 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.

Nice-to-Have:

  • 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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