Jobs → Engineering → Cloud Computing / Kubernetes Infrastructure Engineer

About the Role We are looking for highly skilled Cloud Infrastructure / Kubernetes Engineers for a major IBM initiative. This role focuses on managing large-scale Kubernetes clusters, cloud infrastructure, and GPU compute workloads. Key Responsibilities • Operate and scale Kubernetes platforms across EKS, GKE, and CKS • Manage cluster lifecycle, node pools, networking policies, troubleshooting, and rolling upgrades • Provision HPC infrastructure using CI/CD and Terraform across AWS, GCP, CoreWeave, and OCI • Manage GPU compute allocation and job scheduling for AI/ML training and inference workloads • Build monitoring and alerting systems; define SLIs/SLOs • Handle incident response, severity escalations, and post-incident reviews • Collaborate with Networking, Storage, Security, and AI/ML Platform teams Requirements • 10+ years in Infrastructure Engineering, Cloud Platforms, or HPC, with 4+ years of Kubernetes at scale • Kubernetes at scale: 4+ years of hands-on cluster operations • Python: Tooling, scripting, and automation • Terraform: Infrastructure as Code (IaC) • AWS: EC2, S3, EFS, and FSx for Lustre • Monitoring and Incident Response experience • GPU/HPC job scheduling experience • Multi-cloud Kubernetes experience, preferably GCP and CoreWeave Important: This is a specialized technical role, not a generic DevOps position. Candidates must demonstrate strong practical knowledge of large-scale Kubernetes operations, including scheduler debugging, CNI troubleshooting, node pool sizing, and rolling upgrades.