AI Platform DevSecOps Engineer

At APL, we are dedicated to addressing critical national defense, security, and science challenges through our innovative expertise. We foster a culture that promotes authentic self-expression, continuous professional growth, and collaboration among inspiring colleagues. Our diverse and inclusive environment encourages creative solutions and new ideas, and we offer comprehensive benefits including education assistance, retirement contributions, and a healthy work-life balance. Our campus is conveniently situated in the Baltimore-Washington metro area.

- Bachelors degree in Computer Science, Computer Engineering, Software Engineering, or a related technical field.
- Minimum of three years of experience in software deployment across Windows and Linux environments.
- Familiarity with containerization technologies (such as Docker or Podman) and orchestration tools (like Kubernetes).
- Understanding of CI/CD pipelines and DevSecOps methodologies.
- Experience in vulnerability scanning and remediation strategies.
- Proficient in Bash or another scripting language.
- Strong analytical and problem-solving abilities, especially in resource-constrained environments.
- Eligible to obtain an Interim Secret level security clearance by the start date and ultimately qualify for a TS/SCI level clearance; U.S. citizenship is required for this position.

- Develop and maintain a secure library of containerized software and supporting stacks.
- Implement automated pipelines for container builds, testing, and validation to ensure compatibility with various operating systems and architectures.
- Design and manage Kubernetes-based infrastructure while maintaining well-documented and reproducible deployment configurations.
- Optimize system performance and reliability in constrained environments.
- Create processes for continuous scanning of containers and their dependencies to identify vulnerabilities and ensure compliance with evolving security standards.
- Adapt deployment strategies to align with ATO and accreditation requirements while troubleshooting environment-specific deployment challenges across DoD and IC systems.