Mid DevSecOps Engineer

Strategic ACI; Washington (District of Columbia); On-site; USD 140,000 - 180,000; Full time

Job summary

Strategic ACI in Washington, DC is seeking a Mid DevSecOps Engineer to secure AI/ML test and evaluation activities for national security programs. You will design, develop, and maintain secure CI/CD pipelines, automation, and container strategies to enable safe, scalable deployments across NGA CORE, COE, SECNET, and SBU environments.

Collaborate with AI/ML Test Engineers, Data Scientists, and Platform Engineers to implement repeatable testing, automate workflows, and ensure traceability of

Qualifications

• Active TS/SCI clearance and 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.

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, HMTTE, and TEaaS 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 TE 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.

Skills

CI/CD pipelines

Workflow automation

Containerization

Git

Python

Java

Go

C#

DevSecOps

Linux

Education

Bachelor's degree in CS/Engineering

Tools

GitLab CI

Jenkins

GitHub Actions

Azure DevOps

Docker

Kubernetes

Job description

Strategic 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.