National Security AI Platform & DevSecOps Engineer

Johns Hopkins Applied Physics Lab; Laurel (MD); On-site; USD 100,000 - 245,000; Full time

Job summary

A leading research institution in Laurel, Maryland is seeking an AI Platform and DevSecOps Engineer to work on operationalizing artificial intelligence in national security. The role involves developing secure software libraries, designing Kubernetes infrastructure, and implementing security best practices. Candidates should have a Bachelor's degree in a technical field and at least three years of experience in software deployment. The position offers an annual salary ranging from $100,000 to $245,000, depending on qualifications.

Qualifications

• Minimum 3 years of relevant software deployment experience.
• Experience deploying across Windows and Linux environments.
• Ability to obtain security clearance.

Responsibilities

• Develop and maintain secure containerized software libraries.
• Design and optimize Kubernetes-based infrastructure.
• Ensure compliance with security best practices in deployment.

Skills

Containerization technologies (Docker, Podman)

Kubernetes

Bash or similar scripting languages

Problem-solving skills

Vulnerability scanning and remediation

CI/CD pipelines and DevSecOps practices

Education

Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering or a closely related technical field

Job description

A leading research institution in Laurel, Maryland is seeking an AI Platform and DevSecOps Engineer to work on operationalizing artificial intelligence in national security. The role involves developing secure software libraries, designing Kubernetes infrastructure, and implementing security best practices. Candidates should have a Bachelor's degree in a technical field and at least three years of experience in software deployment. The position offers an annual salary ranging from $100,000 to $245,000, depending on qualifications.