
Kubernetes Infrastructure Architect
24 hours ago
We are seeking a skilled Senior Kubernetes Platform Engineer to join our team. As a key member of our infrastructure team, you will be responsible for designing and implementing the 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 (e.g., GPU drivers, networking, runtime) using 100% GitOps workflows. You will work closely with cross-functional teams to deliver a fully declarative, scalable, and reproducible infrastructure stack—from hardware to Kubernetes and platform services.
Key Responsibilities:
- Architect and Implement Cluster Lifecycle Automation: Design and implement GitOps-driven Kubernetes cluster lifecycle automation using tools like kubeadm, ClusterAPI, Helm, and Argo CD.
- Develop Declarative Infrastructure Components: Develop and manage declarative infrastructure components for GPU stack deployment (e.g., NVIDIA GPU Operator), container runtime configuration (Containerd), and networking layers (CNI plugins like Calico, Cilium, etc.).
- Lead Automation Efforts: Lead automation efforts to enable zero-touch upgrades and certification pipelines for Kubernetes clusters and associated workloads.
- Maintain Sources of Truth: Maintain Git-backed sources of truth for all platform configurations and integrations.
- Standardize Deployment Practices: Standardize deployment practices across multi-cluster GPU environments, ensuring scalability, repeatability, and compliance.
- Drive Observability and Testing: Drive observability, testing, and validation as part of the continuous delivery process (e.g., cluster conformance, GPU health checks).
- Collaborate with Teams: Collaborate with infrastructure, security, and SRE teams to ensure seamless handoffs between lower layers (hardware/OS) and the Kubernetes platform.
- Mentor Junior Engineers: Mentor junior engineers and contribute to the platform automation roadmap.
The ideal candidate will have strong expertise in designing, building, and operating large-scale distributed systems, with a deep understanding of Kubernetes internals and best practices. Strong communication and collaboration skills are also essential for this role, as the successful candidate will be working closely with cross-functional teams to drive the adoption of Kubernetes-based solutions.
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