Job DescriptionStrategic ACI is seeking a Mid DevSecOps Engineer to support AI/ML Test & Evaluation (T&E) activities for mission-critical national security programs. The Mid DevSecOps Engineer designs, develops, and maintains secure software solutions that enable automated, scalable, and repeatable AI/ML testing across Model T&E (MT&E), System T&E (ST&E), Human-Machine Team T&E (HMTT&E), and T&E-as-a-Service (T&EaaS) environments.
This role develops secure CI/CD pipelines, workflow automation, and event-driven testing capabilities that allow AI/ML models and T&E tools to move safely and efficiently through operational evaluation environments. The engineer also designs and manages containerization strategies, standardized container images, and artifact repositories that ensure AI/ML models and T&E tools remain traceable, version-controlled, and readily deployable across NGA CORE, COE, SECNET, and SBU environments.
Responsibilities:- Design, develop, and maintain secure CI/CD pipelines supporting AI/ML model deployment throughout T&E environments.
- Develop workflow automation and event-driven testing capabilities that enable repeatable, scalable, and efficient evaluation processes.
- Build and integrate automated software solutions supporting MT&E, ST&E, HMTT&E, and T&EaaS activities.
- Design, implement, and maintain containerized applications using standardized container images and repositories.
- Manage software artifacts, container repositories, and deployment packages while ensuring version control, traceability, and configuration consistency.
- Develop software that enables secure deployment of AI/ML models and T&E tools across NGA CORE, COE, SECNET, and SBU environments.
- Collaborate with AI/ML Test Engineers, Data Scientists, Computer Vision Scientists, DevSecOps Engineers, and Platform Engineers to integrate automated testing and deployment capabilities.
- Troubleshoot and resolve software integration, deployment, and automation issues affecting T&E operations.
- Develop technical documentation supporting software architecture, deployment procedures, automation workflows, and configuration management.
- Support Agile and DevSecOps development activities that improve the reliability, security, and scalability of enterprise AI/ML evaluation capabilities.
Qualifications:Required:- Active TS/SCI clearance and the ability to pass a CI polygraph within 30 days.
- Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Information Systems, or a related STEM field (or additional relevant experience in lieu of a degree).
- 5+ years of experience developing software applications or enterprise software solutions.
- Experience designing and implementing CI/CD pipelines using tools such as GitLab CI, Jenkins, GitHub Actions, Azure DevOps, or similar platforms.
- Experience developing workflow automation and software solutions using languages such as Python, Java, C#, Go, or similar.
- Experience developing and deploying containerized applications using Docker, Kubernetes, or comparable container orchestration technologies.
- Experience using Git, version control systems, and software configuration management practices.
- Familiarity with Linux-based operating systems and software development environments.
- Knowledge of Agile software development methodologies and DevSecOps principles.
- Strong analytical, troubleshooting, and problem-solving skills.
- Ability to work collaboratively within multidisciplinary engineering teams supporting mission-critical systems.
Desired:- Experience supporting DoD, NGA, or Intelligence Community programs.
- Experience supporting AI/ML operational environments, model deployment pipelines, or MLOps workflows.
- Familiarity with cloud platforms such as AWS, Azure, or Kubernetes-based environments.
- Experience managing container registries, artifact repositories, and automated deployment pipelines.
- Familiarity with Infrastructure as Code tools such as Terraform or Ansible.
- Experience supporting secure software development, RMF, or Authority to Operate (ATO) environments.
- Experience supporting GEOINT systems, AI/ML Test & Evaluation, or mission-focused operational environments.
