Jr. Modeling & Simulation Orchestration/Kubernetes Engineer

Torch Technologies, Inc.•Huntsville, AL

2d•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 enable scalable, secure, and reliable deployment of simulation and test applications supporting 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 systems; troubleshoots during test events; works with development teams on DevOps practices; and maintains security controls. The role also supports distributed simulation events, including occasional off-hours test activities. The position is scheduled Monday through Friday, 8 a.m. to 5 p.m., and is located in Huntsville, Alabama. Travel is 0–10%. Relocation assistance is not available. The position is not contingent upon a contract award.

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 these 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.