Eks Kubernetes Engineer Dram Memorty Optimization

Job Summary Looking for an experienced EKS/Kubernetes Engineer to optimize memory usage and reduce DRAM waste across large-scale AWS environments. The role will focus on EKS cluster management, Kubernetes resource optimization, memory profiling, and production validation.

• Hands-on AWS EKS/Kubernetes experience
• Strong experience managing EKS clusters, node groups, and autoscaling
• Hands-on Kubernetes resource right-sizing and memory optimization
• Experience with VPA, HPA, Cluster Autoscaler and/or Karpenter
• Experience optimizing pod memory requests/limits and node utilization
• Strong understanding of Linux memory, cgroups, OOM-Kill, and container memory
• Hands-on experience with Prometheus, Grafana, kubectl top, and cAdvisor
• Experience with memory profiling, resource utilization analysis, and identifying memory waste
• Experience with node pool optimization, bin-packing, or capacity optimization
• Experience with load/stress testing and production validation
• Proficiency with Generative AI tools for engineering and troubleshooting

• CloudWatch Container Insights / X-Ray
• Chaos engineering and canary deployments
• CI/CD and infrastructure automation
• AI agents or automated engineering workflows

The core focus is EKS + Kubernetes memory profiling + resource right-sizing + DRAM optimization

For applications and inquiries,