Embed security controls within developer workflows leveraging Claude Code for AI development.
Integrate and maintain SAST tools specifically targeting AI-generated code to identify vulnerabilities early.
Implement secrets scanning mechanisms to prevent sensitive data exposure in code repositories and pipelines.
Design, build, and optimize secure CI/CD pipelines that align with best practices in DevSecOps.
Collaborate closely with development, security, and AI teams to ensure seamless security integration without hindering productivity.
Conduct security assessments and provide recommendations to improve pipeline security posture.
Stay current with emerging security threats and AI development trends to proactively enhance security measures.

Proven experience in DevSecOps engineering, particularly in pipeline security and automation.
Strong knowledge of CI/CD tools and platforms (e.g., Jenkins, GitLab CI, Azure DevOps).
Experience with SAST tools and integrating them into development workflows.
Familiarity with secrets management and scanning tools (e.g., HashiCorp Vault, GitGuardian).
Understanding of AI development workflows and challenges related to AI-generated code security.
Proficiency in scripting and automation (e.g., Python, Bash).
Good understanding of cloud platforms (AWS, Azure, or GCP) and their security features.
Strong problem-solving skills and ability to work collaboratively in cross-functional teams.

DevSecOps Engineer – Pipeline Security, AI

Key skills