{"schemaVersion":"jobsearcher.job.v1","id":"14bc4cfbc2052d5d023929bd","url":"https://jobsearcher.com/jobs/14bc4cfbc2052d5d023929bd","canonicalUrl":"https://jobsearcher.com/jobs/14bc4cfbc2052d5d023929bd","title":"EKS / Kubernetes Memory Optimization Engineer","description":"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.","company":"Compunnel","rawCompany":"compunnel","city":"Seattle","state":"WA","isRemote":false,"isActive":false,"createdAt":"2026-08-14T22:58:28.523Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1244.00","title":"Network and Computer Systems Administrators","slug":"network-and-computer-systems-administrators"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"541513","title":"Computer Facilities Management Services","slug":"computer-facilities-management-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"EKS / Kubernetes Memory Optimization Engineer","description":"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.","datePosted":"2026-08-14T22:58:28.523Z","dateModified":"2026-08-14T22:58:28.523Z","hiringOrganization":{"@type":"Organization","name":"Compunnel","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Seattle","addressRegion":"WA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"14bc4cfbc2052d5d023929bd"},"url":"https://jobsearcher.com/jobs/14bc4cfbc2052d5d023929bd"}}