Cloud Infrastructure Automation Specialist

1 week ago

Bengaluru, Karnataka, India beBeeKubernetes Full time ₹ 20,00,000 - ₹ 25,00,000

Senior Kubernetes Platform Engineer Position

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We are seeking a Senior Kubernetes Platform Engineer to spearhead the design and implementation of our 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 using 100% GitOps workflows. You will collaborate with cross-functional teams to deliver a fully declarative, scalable, and reproducible infrastructure stack from hardware to Kubernetes and platform services.

Key Responsibilities:

  • Design 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 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 and collaborate with infrastructure security and SRE teams to ensure seamless handoffs between lower layers and the Kubernetes platform.

Required Skills & Experience:

  • 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 Argos 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.

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