Kubernetes Engineer

Role Overview

Senior Kubernetes Engineer (Long-term Contract, Remote)

Responsibilities

• Design, provision, and manage production-grade Amazon EKS Kubernetes clusters across dev/test/prod using Infrastructure as Code (IaC).
• Architect multi-cluster, multi-AZ Kubernetes environments with high availability, fault tolerance, and workload isolation.
• Manage the full EKS/Kubernetes cluster lifecycle: provisioning, version upgrades, node group management, add-on lifecycle, and decommissioning.
• Design and implement Kubernetes networking:
  • VPC CNI configuration
  • Ingress controllers (AWS Load Balancer Controller)
  • Service mesh
  • DNS
• Implement cluster autoscaling strategies using Karpenter and/or Cluster Autoscaler, including Spot/On-Demand node pool design and cost optimization.
• Manage Kubernetes RBAC (Roles/ClusterRoles and bindings) across namespaces and teams.
• Implement IRSA (IAM Roles for Service Accounts) to grant AWS permissions to workloads without node-level credentials.
• Build and maintain Terraform IaC for EKS and supporting AWS infrastructure (VPC, IAM, ECR, EKS).
• Enforce resource governance using ResourceQuotas, LimitRanges, PodDisruptionBudgets, and PriorityClasses.
• Design and manage persistent storage (EBS CSI and EFS CSI, StorageClass configuration, and backup strategies).
• Build and maintain Dynatrace dashboards and monitors/alerts for Kubernetes health, workload performance, and infrastructure metrics.
• Collaborate with DevOps, SRE, and application teams to onboard workloads, establish cluster standards, and respond to platform incidents.
• Perform root cause analysis and resolve production incidents related to cluster infrastructure, scheduling, networking, and storage.

Required Qualifications

• Bachelor’s degree in Computer Science/IT/Engineering or related field.
• 14+ years total experience (posting states not to apply if less than 14 years).
• 7+ years overall IT Infrastructure/Cloud/Platform Engineering.
• 4+ years hands-on Kubernetes cluster administration in production.
• Strong end-to-end Amazon EKS cluster design/build/operations.
• Deep knowledge of Kubernetes networking (VPC CNI, ingress, DNS).
• Hands-on Karpenter or Cluster Autoscaler experience for dynamic node provisioning.
• Strong Terraform experience for EKS and AWS infrastructure.
• Kubernetes RBAC and IRSA experience.
• Dynatrace dashboards plus monitors/alerts experience.
• Experience with CI/CD and GitOps tooling for workload delivery.
• Linux administration and AWS core services (VPC, IAM, EC2, S3, ECR).
• Experience migrating data from Dynatrace to Datadog.

Preferred Skills

• AWS certifications (Solutions Architect/DevOps Engineer or equivalent).
• CKA (Certified Kubernetes Administrator).
• Python and/or Bash scripting for automation.
• Helm or Kustomize.
• Prometheus/Grafana knowledge.
• Multi-cloud/hybrid Kubernetes experience (AKS/GKE with EKS).