Cloud Computing Specialist

1 day ago

Meerut, Uttar Pradesh, India beBeeKubernetes Full time ₹ 25,00,000 - ₹ 35,00,000
Job Description

We are seeking an experienced Senior Kubernetes Platform Engineer to join our team. In this role, you will be responsible for designing and implementing the Zero-Touch Build, Upgrade, and Certification pipeline for our on-premises GPU cloud platform.

As a Senior Kubernetes Platform Engineer, you will work across teams to deliver a fully declarative, scalable, and reproducible infrastructure stack—from hardware to Kubernetes and platform services.

  • 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)
  • Networking layers (CNI plugins like Calico, Cilium, etc.)

Key Responsibilities

  • Lead automation 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 (e.g., cluster conformance, GPU health checks).
  • Collaborate with infrastructure, security, and SRE teams to ensure seamless handoffs between lower layers (hardware/OS) and the Kubernetes platform.
  • Mentor junior engineers and contribute to the platform automation roadmap.
Required Skills & Qualifications

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.
Additional Benefits

Opportunity to work on cutting-edge technologies and projects

Chance to collaborate with experienced professionals and thought leaders

Competitive salary and benefits package

Professional development opportunities

Flexible working arrangements

Modern, collaborative work environment

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