Kubernetes Expertise Wanted

4 days ago

Belgaum, Karnataka, India beBeeEngineer Full time US$ 1,80,000 - US$ 2,50,000

Job Title

A skilled Senior Kubernetes Platform Engineer is required to join our team. We are seeking an expert in infrastructure engineering with a strong focus on Kubernetes-based environments.

Key Responsibilities

  • Design and implement the Zero-Touch Build, Upgrade, and Certification pipeline for our on-premises GPU cloud platform using GitOps workflows.
  • Develop and manage declarative infrastructure components for GPU stack deployment, container runtime configuration, networking layers, and more.
  • 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.
  • 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.

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, 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.
  • 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 (Bash, Python, or Go).
  • Familiarity with Linux internals, systemd, and OS-level tuning for container workloads.

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