Job Summary
We are seeking an experienced EKS/Kubernetes Engineer to drive memory optimization across large-scale AWS environments. The role will focus on Kubernetes cluster optimization, resource right-sizing, memory utilization, and improving workload and infrastructure efficiency in production environments.
Key Responsibilities
• Manage AWS EKS/Kubernetes cluster lifecycles, including node groups, autoscaling, and overall cluster optimization.
• Optimize Kubernetes resource requests and limits, HPA, VPA, Cluster Autoscaler, and Karpenter configurations.
• Perform memory optimization, resource right-sizing, bin-packing, and node consolidation in production environments.
• Analyze Linux memory utilization, cgroups, OOM-kills, container runtime overhead, and DRAM utilization.
• Monitor and analyze resource utilization using Prometheus, Grafana, kubectl top, cAdvisor, and memory profiling tools.
Required Qualifications
• 12+ years of professional experience in relevant engineering roles.
• Strong hands-on experience with AWS EKS and Kubernetes.
• Strong experience with EKS cluster lifecycle management, node groups, autoscaling, and cluster optimization.
• Expertise in Kubernetes resource requests and limits, HPA, VPA, Cluster Autoscaler, and Karpenter.
• Production experience with memory optimization, resource right-sizing, bin-packing, and node consolidation.
• Strong understanding of Linux memory, cgroups, OOM-kills, container runtime overhead, and DRAM utilization.
• Hands-on experience with Prometheus, Grafana, kubectl top, cAdvisor, and memory profiling.
