Chief Infrastructure Architect

2 days ago

Aligarh, Uttar Pradesh, India beBeeExpert Full time US$ 1,80,000 - US$ 2,40,000

Platform Expert Opportunity

We're seeking an experienced Platform Engineer to join our team.

Job Description:

  • Design and implement Kubernetes cluster lifecycle automation using tools like kubeadm, ClusterAPI, Helm, and Argo CD.
  • Develop declarative infrastructure components for GPU stack deployment, container runtime configuration, networking layers, and lead 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.
  • Collaborate with infrastructure, security, and SRE teams to ensure seamless handoffs between lower layers and the Kubernetes platform, 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, including 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, Argo CD for GitOps-based delivery, Helm for application and cluster add-on packaging, Containerd as a container runtime, and NVIDIA GPU Operator or equivalent in production environments.
  • 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, solid scripting and automation skills, familiarity with Linux internals, systemd, and OS-level tuning for container workloads.

Preferred Requirements:

  • 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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