Kubernetes Engineer

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Good day!

If you are intrested with the below job role then please reply back with updated resume and contact details to

Role: Kubernetes Engineer

Remote

Type: Contract

Duration: Long Term

Must have : 14+ Years experience

Must have : Migrating data from Datadog to Dynatrace

Key Responsibilities

• Design, provision, and manage production-grade Amazon EKS clusters across development, test, and production environments using Infrastructure as Code.
• Architect multi-cluster, multi-AZ Kubernetes environments with high availability, fault tolerance, and workload isolation.
• Manage full 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, and DNS.
• Implement and manage cluster autoscaling strategies using Karpenter and/or Cluster Autoscaler, including Spot/On-Demand node pool design and cost optimization.
• Manage role-based access control (RBAC) — create and maintain Roles, ClusterRoles, RoleBindings, and ClusterRoleBindings across namespaces and teams.
• Implement IRSA (IAM Roles for Service Accounts) to assign AWS permissions to workloads without node-level credentials.
• Build and maintain Infrastructure as Code (Terraform) for all cluster and supporting AWS infrastructure — VPC, IAM, ECR, and EKS.
• Define and enforce resource governance — ResourceQuotas, LimitRanges, PodDisruptionBudgets, and PriorityClasses across namespaces and teams.
• Design and manage persistent storage — EBS CSI and EFS CSI drivers, StorageClass configuration, and backup strategies.
• Build and maintain Dynatrace dashboards to provide operational visibility into cluster health, workload performance, and infrastructure metrics.
• Configure Dynatrace monitors and alerts for proactive issue detection across Kubernetes infrastructure.
• Collaborate with DevOps, SRE, and Application teams to onboard workloads, define cluster standards, and resolve platform-level 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, Information Technology, Engineering, or related field.
• 7+ years of overall IT Infrastructure, Cloud, or Platform Engineering experience.
• 4+ years of hands-on Kubernetes cluster administration in production environments.
• Strong experience designing, building, and operating Amazon EKS clusters end-to-end.
• Deep knowledge of Kubernetes networking — VPC CNI, ingress, and DNS.
• Hands-on experience with Karpenter or Cluster Autoscaler for dynamic node provisioning.
• Strong Terraform experience for EKS and AWS infrastructure provisioning.
• Experience with Kubernetes RBAC and IRSA for role and permission management.
• Hands-on experience building Dynatrace dashboards and configuring monitors and alerts.
• Experience with CI/CD systems and GitOps tooling for workload delivery.
• Linux administration and AWS core services — VPC, IAM, EC2, S3, ECR.

Preferred Skills

• AWS certifications — Solutions Architect, DevOps Engineer, or equivalent.
• CKA (Certified Kubernetes Administrator) certification.
• Scripting proficiency in Python and/or Bash for operational automation.
• Experience with Helm or Kustomize for workload delivery.
• Additional observability tooling — Prometheus, Grafana.
• Multi-cloud or hybrid cluster experience (AKS, GKE alongside EKS).