Kubernetes Engineer

Project overview

Kubernetes Engineer role

Key Responsibilities

Required Qualifications

Preferred Skills

Job Facts: Contract W2 | Contract Corp To Corp | 12 Months

Skills: Continuous Integration, Kubernetes, Amazon Web Services, Automation, Cloud Computing, Python (Programming Language), Scripting, Infrastructure Management, Amazon Elastic Compute Cloud, Self Motivation, Networking Skills, Administrative Operations, Grafana, Information Technology, Governance, DevOps, Metrics, Root Cause Analysis, Product Family Engineering, Dashboards, Linux System Administration, Node.Js, Fault Tolerance, System Availability, Amazon Virtual Private Cloud (VPC), Cost Optimisation, Domain Name System (DNS), Identity and Access Management, Role-Based Access Control, Terraform, Amazon S3, Bash Shell, Datadog, Decommissioning, Dynatrace, Istio, Load Balancing, Multi-Cloud, Problem Identification, Prometheus, Scheduling, Tooling Assembly and Dismantling

Reference: Dice Id: 10470974 | Position Id: 2026-59

• 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.
• 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.
• 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).

Project details

• Start: flexible
• Duration: 12 Months
• Remote: hybrid
• Location: TX, US, US