AI Platform and DevSecOps Engineer

Job description

Are you searching for important work at the intersection of National Security Analysis and Artificial Intelligence?

Are you passionate about deploying, sustaining, and securing AI-enabled software?

If so, we're looking for someone like you to join our team at APL, working at the forefront of operationalizing artificial intelligence in national security environments.

In this role, you will bridge the gap between AI development and real-world deployment—ensuring that advanced capabilities, including large language models and supporting services, are delivered securely, reliably, and at scale to mission environments.

Working within the Advanced Mission Modeling and AI Group (JAM) in the National Security Analysis Department (NSAD), you will play a critical role in ensuring that AI capabilities are not just developed—but successfully fielded and maintained across DoD and Combatant Command infrastructures.

As an AI Platform and DevSecOps Engineer...

• Your primary responsibility will be to develop, maintain, and continuously update a secure library of containerized software and supporting stacks, along with implementing automated pipelines for container builds, testing, and validation and ensuring compatibility across multiple operating systems and architectures.
• You will design, deploy, and maintain Kubernetes-based infrastructure, maintain well-documented, reproducible deployment configurations, and optimize performance and reliability across constrained environments.
• You will develop processes to continuously scan containers and dependencies for vulnerabilities and remediate findings, ensuring compliance with evolving STIG requirements and security controls and integrating security best practices into CI/CD pipelines.
This is an excerpt. Read the full job description on Johns Hopkins APL careers →