Modeling & Simulation Orchestration/Kubernetes Engineer

Torch Technologies, Inc.•Huntsville, AL

31d•Onsite

About The Position

The Modeling & Simulation (M&S) Orchestration/Kubernetes Engineer supports testing of complex systems within distributed Hardware-in-the-Loop (HWIL) and cloud-based simulation environments for the Missile Defense Agency (MDA). This role focuses on containerization, orchestration, and DevOps practices to ensure scalable, secure, and reliable deployment of simulation and test applications in support of mission-critical software development and test events.

Requirements

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

Nice To Haves

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

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 (IaC) using Terraform, Ansible, or similar tools to provision and manage cloud and on-prem 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