Advanced Infrastructure Specialist

2 weeks ago

Tirupati, Andhra Pradesh, India beBeeKubernetes Full time ₹ 30,00,000 - ₹ 40,00,000

About our client: We provide digital engineering and technology services to global companies, executing ideas and solving business challenges with industry expertise and agile teams.

We combine logic, creativity, and curiosity to build solutions for our clients' pressing business challenges. Our Engineering First approach ensures impactful results, moving clients to the forefront of their industries.

Job Title : Senior Kubernetes Platform Engineer

Job Summary:

Senior Kubernetes Platform Engineer (Zero-Touch GPU Cloud – GitOps Automation)

We are looking for a Senior Kubernetes Platform Engineer to design and implement the 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.

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, container runtime configuration, networking layers, and lead automation efforts to enable zero-touch upgrades and certification pipelines.
  • 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.

Required Skills & Experience

  • 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, Argo CD for GitOps-based delivery, Helm for application and cluster add-on packaging, and Containerd as a container runtime.
  • 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.
  • 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.
  • Bonus:
  • Experience with custom controllers, operators, or Kubernetes API extensions.
  • Contributions to Kubernetes or CNCF projects.

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