Modeling & Simulation Orchestration/Kubernetes Engineer
On-siteHuntsville, Alabama, United States
Job Summary
Design, build, and maintain scalable, resilient Kubernetes clusters for simulation and test environments within distributed Hardware-in-the-Loop and cloud-based systems. Deploy and manage containerized applications using Docker and Kubernetes to ensure high availability, while developing automated CI/CD pipelines with tools like Jenkins or Azure DevOps. Implement Infrastructure as Code using Terraform or Ansible to provision resources, and monitor cluster health via Prometheus, Grafana, and Splunk. Troubleshoot infrastructure and application issues in real-time during test events and collaborate with development teams to streamline containerization and enforce security controls including network policies and vulnerability scanning. Support distributed simulation events, including occasional off-hours activities, for the Missile Defense Agency.
Required Qualifications
- U.S. Citizenship
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field (equivalent professional experience considered)
- 2+ years of related experience
- Active SECRET security clearance with ability to obtain and maintain TS/SCI
- Experience supporting Kubernetes-based environments
- Experience with Docker and container orchestration (Kubernetes, EKS, GKE, or OpenShift)
- Experience developing or maintaining CI/CD pipelines
- Experience with Infrastructure as Code (Terraform, Ansible, or similar)
- Strong scripting skills (Python, Bash, or similar)
- Knowledge of Linux/UNIX environments and command-line tools
- Experience with Git and collaborative development workflows
Desired Qualifications
- Certified Kubernetes Administrator (CKA) or similar certification
- Experience working in cloud environments (AWS, Azure, or GCP)
- Experience supporting distributed or high-performance computing environments
- Familiarity with GPU-enabled workloads and CUDA architecture
- Experience integrating ML/AI workloads into containerized environments
- Experience building or supporting real-time or streaming data pipelines
- Familiarity with monitoring and observability best practices
- Experience with Linux development environments
- Experience with Docker and advanced container security practices
- Familiarity with large-scale data processing or distributed systems frameworks
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