Description

Design, deploy, and maintain highly available Amazon EKS clusters supporting large-scale data processing workloads.

This role is hybrid.

Responsibilities

• Build and operate secure Kubernetes environments within private AWS VPCs, including air-gapped deployments and internal package repositories.
• Optimize node provisioning using Karpenter, balancing workload performance, resiliency, and cloud cost management.
• Configure Kubernetes resource management using ResourceQuotas, LimitRanges, PriorityClasses, and affinity rules to maximize cluster efficiency.
• Deploy persistent storage solutions using Amazon EBS CSI and Amazon EFS CSI drivers for high-performance data processing.
• Troubleshoot complex distributed application issues including scheduling, autoscaling, networking, and cluster performance.

Required Skills

• 8+ years of infrastructure, cloud engineering, or platform engineering experience.
• Deep expertise administering Kubernetes in large-scale production environments.
• Strong experience designing and operating Amazon EKS clusters.
• Hands-on experience with AWS services including EC2, EBS, EFS, IAM, VPC, and CloudWatch.
• Experience with Kubernetes autoscaling technologies such as Karpenter or Cluster Autoscaler.
• Strong scripting or programming experience using Python, Go, or Bash.
• Experience implementing Infrastructure as Code using Terraform or CloudFormation.
• Experience supporting Apache Spark or other distributed compute frameworks in Kubernetes.

Preferred Skills

• Kubernetes certifications (CKA, CKAD, or CKS) or AWS Certified Solutions Architect.
• Experience operating air-gapped or highly secure cloud environments.
• Familiarity with GitOps tools such as ArgoCD or Flux.

Key Skills

Education

Bachelor's degree