Secure AI Platform Engineer — DevSecOps for Mission Systems

The Johns Hopkins University Applied Physics Laboratory; Laurel (MD); On-site; USD 80,000 - 120,000; Full time

Job summary

A leading research institution based in Laurel, Maryland seeks an AI Platform and DevSecOps Engineer to work at the intersection of National Security Analysis and Artificial Intelligence. The role involves developing and maintaining a secure library of containerized software, deploying a Kubernetes-based infrastructure, and implementing automated pipelines. Candidates should possess a Bachelor's degree in a technical field and have at least three years of relevant experience, including familiarity with CI/CD processes and container technologies.

Qualifications

• Minimum 3 years of relevant experience deploying software across Windows and Linux.
• Experience with containerization and orchestration technologies.
• Ability to obtain interim secret security clearance.

Responsibilities

• Develop and maintain a secure library of containerized software.
• Design, deploy, and maintain Kubernetes-based infrastructure.
• Implement automated pipelines for container builds and testing.

Skills

Software Deployment

Containerization (Docker, Podman)

Kubernetes

CI/CD Pipelines

Scripting (Bash)

Problem-solving skills

Education

Bachelor's degree in Computer Science or related field

Job description

A leading research institution based in Laurel, Maryland seeks an AI Platform and DevSecOps Engineer to work at the intersection of National Security Analysis and Artificial Intelligence. The role involves developing and maintaining a secure library of containerized software, deploying a Kubernetes-based infrastructure, and implementing automated pipelines. Candidates should possess a Bachelor's degree in a technical field and have at least three years of relevant experience, including familiarity with CI/CD processes and container technologies.