Cloud Native Infrastructure Architect

1 day ago

Kurnool, Andhra Pradesh, India beBeeKubernetes Full time ₹ 1,70,00,000 - ₹ 2,30,00,000
Job Title: Senior Kubernetes Platform Engineer

We are seeking an experienced and skilled Senior Kubernetes Platform Engineer to join our team. This is a unique opportunity to leverage your expertise in designing and implementing Zero-Touch Build, Upgrade, and Certification pipelines for our on-premises GPU cloud platform.

The ideal candidate will have hands-on experience with Kubernetes cluster management, GitOps workflows, and infrastructure automation. They will be responsible for architecting and implementing declarative infrastructure components, including GPU stack deployment, container runtime configuration, and networking layers.

Key responsibilities include:

  • Designing and implementing GitOps-driven Kubernetes cluster lifecycle automation using tools like kubeadm, ClusterAPI, Helm, and Argo CD.
  • Developing and managing declarative infrastructure components for GPU stack deployment, container runtime configuration, and networking layers.
  • Leading automation efforts to enable zero-touch upgrades and certification pipelines for Kubernetes clusters and associated workloads.
  • Maintaining Git-backed sources of truth for all platform configurations and integrations.
  • Standardizing deployment practices across multi-cluster GPU environments, ensuring scalability, repeatability, and compliance.

Required skills and qualifications include:

  • 8+ 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.
  • Experience building Kubernetes clusters in on-prem environments (vs. managed cloud services).
  • 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.

This role offers a competitive salary and benefits package, as well as opportunities for professional growth and development. If you are passionate about infrastructure automation and Kubernetes, we encourage you to apply for this exciting opportunity.

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