As a Senior Kubernetes Platform Engineer, your role involves designing and implementing the Zero-Touch Build, Upgrade, and Certification pipeline for the on-premises GPU cloud platform. Your focus will be on automating the Kubernetes layer and its dependencies using 100% GitOps workflows to deliver a declarative, scalable, and reproducible infrastructure stack. **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, and networking layers. - Lead automation efforts for zero-touch upgrades and certification pipelines for Kubernetes clusters and workloads. - Maintain Git-backed sources of truth for all platform configurations and integrations. - Standardize deployment practices across multi-cluster GPU environments for scalability, repeatability, and compliance. - Drive observability, testing, and validation in the continuous delivery process. - Collaborate with infrastructure, security, and SRE teams for seamless handoffs between hardware/OS and the Kubernetes platform. - Mentor junior engineers and contribute to the platform automation roadmap. **Required Skills & Experience:**
10+ years of infrastructure engineering experience with a focus on Kubernetes-based environments. - Proficiency in Kubernetes API, Helm templating, Argo CD GitOps integration, Go/Python scripting, and Containerd. - Deep knowledge and hands-on experience with Kubernetes cluster management, Argo CD, Helm, Containerd, and NVIDIA GPU Operator. - Understanding of CNI plugin ecosystems, network policies, and multi-tenant networking in Kubernetes. - Strong GitOps mindset and experience managing infrastructure as code through Git-based workflows. - Experience in building Kubernetes clusters in on-prem environments and managing multi-cluster, GPU-accelerated workloads. - Proficient in scripting and automation with Bash, Python, or Go. - 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. As a Senior Kubernetes Platform Engineer, your role involves designing and implementing the Zero-Touch Build, Upgrade, and Certification pipeline for the on-premises GPU cloud platform. Your focus will be on automating the Kubernetes layer and its dependencies using 100% GitOps workflows to deliver a declarative, scalable, and reproducible infrastructure stack. **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, and networking layers. - Lead automation efforts for zero-touch upgrades and certification pipelines for Kubernetes clusters and workloads. - Maintain Git-backed sources of truth for all platform configurations and integrations. - Standardize deployment practices across multi-cluster GPU environments for scalability, repeatability, and compliance. - Drive observability, testing, and validation in the continuous delivery process. - Collaborate with infrastructure, security, and SRE teams for seamless handoffs between hardware/OS and the Kubernetes platform. - Mentor junior engineers and contribute to the platform automation roadmap. **Required Skills & Experience:**
10+ years of infrastructure engineering experience with a focus on Kubernetes-based environments. - Proficiency in Kubernetes API, Helm templating, Argo CD GitOps integration, Go/Python scripting, and Containerd. - Deep knowledge and hands-on experience with Kubernetes cluster management, Argo CD, Helm, Containerd, and NVIDIA GPU Operator. - Understanding of CNI plugin ecosystems, network policies, and multi-tenant networking in Kubernetes. - Strong GitOps mindset and experience managing infrastructure as code through Git-based workflows. - Experience in building Kubernetes clusters in on-prem environments and managing multi-cluster, GPU-accelerated workloads. - Proficient in scripting and automation with Bash, Python, or Go. - 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.