Senior Infrastructure Engineer

3 days ago


Anantapur, Andhra Pradesh, India beBeeInfrastructure Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
About the Role

We are seeking a seasoned professional to lead our Kubernetes platform engineering efforts. The ideal candidate will have extensive experience in designing and implementing scalable, high-performance infrastructure solutions.

Key Responsibilities:
  • Design and implement a Zero-Touch Build, Upgrade, and Certification pipeline for on-premises GPU cloud platforms.
  • Automate Kubernetes layer and dependencies (e.g., GPU drivers, networking, runtime) using 100% GitOps workflows.
  • Develop declarative infrastructure components for:
    Kubernetes stack deployment (e.g., NVIDIA GPU Operator)
    Container runtime configuration (Containerd)
    Networking layers (CNI plugins like Calico, Cilium, etc.)
  • Lead automation efforts to enable zero-touch upgrades and certification pipelines for Kubernetes clusters and 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 continuous delivery processes.
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 (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.


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