AI DevSecOps Engineer

About this kind of role

What a AI DevSecOps Engineer usually does. The employer's own details are in the listing.

Typically does: Integrates security practices within the software development lifecycle, specifically leveraging artificial intelligence and machine learning to automate security tasks. This role focuses on building and maintaining secure pipelines for continuous integration and continuous delivery. Responsibilities often include vulnerability scanning, threat modeling, and implementing automated security testing. They work to ensure applications are secure by design, rather than as an afterthought.

Tools and skills: Proficiency in cloud platforms (like AWS, Azure, or Google Cloud), containerization technologies (Docker, Kubernetes), scripting languages (Python, Bash), CI/CD tools (Jenkins, GitLab CI), and security tools like SAST/DAST scanners, along with a strong understanding of AI/ML principles.

Good fit for: Individuals with a blend of software development, DevOps, and cybersecurity expertise, and a passion for automation and leveraging AI to improve security outcomes, are typically successful.