Jr. Modeling & Simulation Orchestration/Kubernetes Engineer

Torch Technologies•Huntsville, AL
•Onsite

About The Position

The Modeling & Simulation (M&S) Orchestration/Kubernetes Engineer supports testing complex systems in distributed Hardware-in-the-Loop (HWIL) and cloud-based simulation environments for the Missile Defense Agency (MDA). The role focuses on containerization, orchestration, and DevOps practices to provide scalable, secure, and reliable deployment of simulation and test applications for mission-critical software development and test events. The engineer designs and maintains Kubernetes clusters, deploys containerized applications, develops CI/CD pipelines, implements Infrastructure as Code, monitors system health and performance, and troubleshoots issues during test events. The role also collaborates with development teams on containerization and DevOps practices, maintains security controls, and supports distributed simulation events, including occasional off-hours test activities.

Requirements

  • U.S. citizenship.
  • Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field and at least 2 years of related experience; or a master’s degree in one of those fields and at least 0 years of related experience.
  • Ability to obtain and maintain a Secret-level security clearance, with the ability to obtain and maintain TS/SCI.
  • Experience supporting Kubernetes-based environments.
  • Experience with Docker and container orchestration such as Kubernetes, EKS, GKE, or OpenShift.
  • Experience developing or maintaining CI/CD pipelines.
  • Experience with Infrastructure as Code, such as Terraform, Ansible, or similar tools.
  • Strong scripting skills in Python, Bash, or similar.
  • Knowledge of Linux/UNIX environments and command-line tools.
  • Experience with Git and collaborative development workflows.

Nice To Haves

  • Certified Kubernetes Administrator (CKA) or similar certification.
  • Experience working in cloud environments such as 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.

Responsibilities

  • Design, build, and maintain scalable, resilient Kubernetes clusters for simulation and test environments.
  • Deploy and manage containerized applications using Docker and Kubernetes, ensuring high availability and performance.
  • Develop and automate CI/CD pipelines using tools such as Jenkins, GitLab CI, or Azure DevOps.
  • Implement Infrastructure as Code using Terraform, Ansible, or similar tools to provision and manage cloud and on-premises resources.
  • Monitor cluster health, system performance, and application metrics using tools such as Prometheus, Grafana, and Splunk.
  • Troubleshoot infrastructure and application issues in real time during test events.
  • Collaborate with development teams to streamline containerization and promote DevOps best practices.
  • Implement and maintain security controls, including network policies, RBAC, vulnerability scanning, and compliance enforcement.
  • Support distributed simulation events, including occasional off-hours test activities.

Benefits

  • ESOP participation.
  • 401(k) match.
  • Medical, dental, vision, and life insurance.
  • Short-term and long-term disability.
  • Flexible spending accounts, Health Savings Accounts, and Health Reimbursement Accounts.
  • Employee Assistance Program (EAP).
  • Education assistance.
  • Paid time off and holidays.
  • Stable and professional work environment.
  • Competitive salary.
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