Senior Infrastructure Architect

1 day ago

Vellore, Tamil Nadu, India beBeeKubernetes Full time ₹ 25,00,000 - ₹ 35,00,000
Job Description

We are seeking a seasoned Kubernetes Platform Engineer to lead our team in designing and implementing a cutting-edge, Zero-Touch Build, Upgrade, and Certification pipeline for our on-premises GPU cloud platform. As a key member of our infrastructure engineering team, you will be responsible for architecting and implementing GitOps-driven Kubernetes cluster lifecycle automation using tools like kubeadm, ClusterAPI, Helm, and Argo CD.

This role involves developing and managing declarative infrastructure components for GPU stack deployment, container runtime configuration, networking layers, and maintaining Git-backed sources of truth for all platform configurations and integrations. You will also standardize deployment practices across multi-cluster GPU environments, ensuring scalability, repeatability, and compliance.

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 (e.g., NVIDIA GPU Operator), container runtime configuration (Containerd), and networking layers (CNI plugins like Calico, Cilium, etc.).
  • 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.
Required Skills & Experience

We are looking for a highly skilled engineer with 8+ years of hands-on experience in infrastructure engineering, specifically in Kubernetes-based environments. The ideal candidate will have a strong background in the following areas:

  • Kubernetes API, Helm templating, Argo CD GitOps integration, Go/Python scripting.
  • Deep knowledge of 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.
  • 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.
  • Proven ability to scale and manage multi-cluster, GPU-accelerated workloads with high availability and security.
About Us

We are a leading provider of digital engineering and technology services to Forbes Global 2000 companies worldwide. Our Engineering First approach enables us to execute all ideas and creatively solve pressing business challenges. With industry expertise and empowered agile teams, we prioritize execution early in the process for impactful results.

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