Jobs → Engineering → Kubernetes Platform Engineer

About the Role We are looking for a highly experienced Kubernetes Platform Engineer for a major HPC and Cloud Infrastructure initiative. Key Responsibilities • Manage large-scale Kubernetes clusters • Implement and maintain Kubernetes platform engineering at scale • Troubleshoot Kubernetes networking, CNI, scheduler, and network policies • Develop Terraform / Infrastructure as Code solutions • Create and integrate CI/CD pipelines • Automate infrastructure operations with Python scripting • Manage AWS services including EC2, S3, EFS, and FSx for Lustre • Handle GPU resource allocation and scheduling for AI/ML workloads • Implement monitoring, observability, SLIs/SLOs, and incident response • Gain experience across multiple cloud providers Requirements • 10+ years of overall experience preferred • 4+ years managing large-scale Kubernetes clusters • Strong hands-on experience with Kubernetes platform engineering at scale • Experience with Amazon EKS, GKE, cluster lifecycle management, node pools, and rolling upgrades • Proficiency in Kubernetes networking, CNI troubleshooting, scheduler debugging, and network policies • Terraform / Infrastructure as Code (IaC) and CI/CD pipeline integration • Python scripting and automation for infrastructure operations • Experience with AWS services: EC2, S3, EFS, and FSx for Lustre • GPU resource allocation and scheduling for AI/ML training and inference workloads • Monitoring, observability, SLIs/SLOs, incident response, and root-cause analysis • Multi-cloud Kubernetes experience across AWS, GCP, CoreWeave, and/or OCI Important Requirements • Kubernetes platform engineering at scale is the primary requirement • Candidates with 4+ years of large-scale Kubernetes experience will be strongly preferred • Basic Kubernetes, local-cluster, or generic DevOps experience alone will not be sufficient • Only genuine and verifiable USC/GC candidates will be considered