
GPU Cloud Infrastructure Engineer
2 days ago
Job Summary:
We are seeking an experienced Kubernetes Platform Engineer to design and implement a Zero-Touch Build, Upgrade, and Certification pipeline for our on-premises GPU cloud platform. This role requires a strong understanding of Kubernetes cluster management, GitOps-based delivery, and container runtime configuration.
Key Responsibilities:- Architect and implement GitOps-driven 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 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 (hardware/OS) and the Kubernetes platform, mentor junior engineers, and contribute to the platform automation roadmap.
- 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 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, 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, exposure to service meshes, ingress controllers, or workload identity providers.
About this Role:
This is an exciting opportunity to join our team and contribute to the development of a cutting-edge Kubernetes platform. As a Senior Kubernetes Platform Engineer, you will be responsible for designing and implementing a Zero-Touch Build, Upgrade, and Certification pipeline for our on-premises GPU cloud platform.
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