
Highly Experienced Kubernetes Infrastructure Specialist
2 weeks ago
Job Description:
We are seeking an experienced Senior Kubernetes Platform Engineer to design and implement a 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. You will work across teams to deliver a fully declarative, scalable, and reproducible infrastructure stack—from hardware to Kubernetes and platform services.
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 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 & Experience:
- 10+ 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, Helm, Containerd, and NVIDIA GPU Operator.
- 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.
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