Platform Engineer

Infrastructure Engineer (Kubernetes, GPU/NVIDIA, Terraform)IntroductionWe are seeking a highly skilled AI Infrastructure Engineer to design, build, and support scalable GPU-enabled Kubernetes platforms for AI/ML workloads. The ideal candidate will have strong expertise in Kubernetes, Linux, Terraform, and NVIDIA GPU technologies, with experience building enterprise-grade AI infrastructure. ResponsibilitiesDesign, deploy, and manage production-grade Kubernetes clustersBuild and maintain GPU-enabl

Kubernetes Engineer role Key Responsibilities Design, provision, and manage production-grade Amazon EKS clusters across development, test, and production environments using Infrastructure as Code. Architect multi-cluster, multi-AZ Kubernetes environments with high availability, fault tolerance, and workload isolation. Manage full cluster lifecycle - provisioning, version upgrades, node group management, add-on lifecycle, and decommissioning. Design and implement Kubernetes networking - VPC CNI c

Hi, Good day! If you are intrested with the below job role then please reply back with updated resume and contact details to Role: Kubernetes Engineer Remote Type: Contract Duration: Long Term Must have : 14+ Years experience Must have : Migrating data from Datadog to Dynatrace Key Responsibilities Design, provision, and manage production-grade Amazon EKS clusters across development, test, and production environments using Infrastructure as Code.Architect multi-cluster, multi-AZ Kubernetes e

Data Platform Infrastructure Engineer W2 Contract Pay Rate: $55 - $65 per hour Location: Cupertino, CA - Remote Role Job Summary: We seek a Data Platform Infrastructure Engineer skilled in AWS/Google Cloud Platform/AliCloud and Kubernetes to build and maintain the infrastructure powering our data platform. You'll ensure reliability, scalability, and performance of large-scale systems, developing tools and dashboards for monitoring and management. Experience with infrastructure-as-code and d