Kubernetes Platform Engineer​/Development Operations; TS​/SCI Poly

The engineer will help build and operate a cloud-native platform that enables automated application deployment, infrastructure scalability, and secure operations.

GCI embodies excellence, integrity and professionalism. The employees supporting our customers deliver unique, high-value mission solutions while effectively leverage the technological expertise of our valued workforce to meet critical mission requirements in the areas of Data Analytics and Software Development, Engineering, Targeting and Analysis, Operations, Training, and Cyber Operations. We maximize opportunities for success by building and maintaining trusted and reliable partnerships with our customers and industry.

The Dev Ops / Kubernetes Platform Engineer is responsible for the design, implementation, and operation of containerized infrastructure and platform services supporting the project’s cloud environment. This role focuses heavily on Kubernetes platform engineering within Amazon Web Services (AWS), leveraging Amazon Elastic Kubernetes Service (EKS) to deploy, scale, and manage containerized workloads.

The engineer will help build and operate a cloud-native platform that enables automated application deployment, infrastructure scalability, and secure operations.

• Design, deploy, and manage Kubernetes clusters in AWS using Amazon EKS
• Develop and maintain Infrastructure as Code (IaC) for cloud and Kubernetes resources using tools such as Terraform, Cloud Formation, or Ansible
• Implement and manage containerized application deployments using Docker and Kubernetes
• Build and maintain Helm charts and Kubernetes manifests for application deployment and platform services
• Automate provisioning and configuration of AWS infrastructure and Kubernetes environments
• Design and maintain CI/CD pipelines supporting automated build, testing, and deployment of containerized applications
• Implement Kubernetes observability and monitoring solutions using tools such as Prometheus, Grafana, Cloud Watch, and ELK/Kibana
• Configure and manage Kubernetes networking, ingress controllers, service meshes, and security policies
• Monitor health, performance, and capacity of Kubernetes clusters and cloud infrastructure
• Support platform security and compliance including vulnerability scanning, container image security, and audit logging
• Collaborate with development teams to enable cloud-native application deployment patterns
• Participate in platform reliability engineering, including incident response, root cause analysis, and system optimization
• Establish and maintain platform standards, operational procedures, and best practices for Kubernetes and cloud infrastructure

• Bachelor’s Degree in Computer Science, Electrical or Computer Engineering or a related technical discipline, or the equivalent combination of education, technical training, or work/military experience.
• 8–10 years of experience in system administration, Dev Ops, or cloud infrastructure engineering
• 3+ years of hands‑on Kubernetes experience in production environments

• Kubernetes / Container Platform (Primary Requirement)
• Strong hands‑on experience with Kubernetes cluster operations
• Direct experience deploying and managing Amazon EKS clusters
• Experience with containerization technologies (Docker or OCI containers)
• Experience deploying applications using Helm, Kustomize, or Kubernetes manifests
• Understanding of Kubernetes networking, services, ingress controllers, and load balancing
• Experience implementing Kubernetes RBAC, secrets management, and security policies
• Experience troubleshooting Kubernetes workloads, pods, and cluster networking issues
• AWS Cloud Experience
• Deep experience with AWS services including:
• Amazon EKS
• EC2
• VPC networking
• Cloud Watch
• S3
• Experience automating infrastructure using Terraform, Cloud Formation, or similar tools
• Experience building scalable, highly available cloud infrastructure
• Automation & Infrastructure as Code
• Strong scripting experience using:
  • Ansible
  • Python
  • Shell scripting
• Experience implementing Infrastructure as Code for cloud and Kubernetes resources
• Experience building automation pipelines for environment…