AI DevSecOps Senior Engineer
Hybrid · Miami, Florida, United States or Atlanta, Georgia, United States
Job Summary
AI DevSecOps Senior Engineer responsible for leading the design and implementation of secure DevSecOps across CI/CD pipelines and cloud-native platforms, embedding secure-by-design practices, integrating AppSec tools (SAST/DAST/SCA), managing CNAPP platforms (e.g., Wiz, Prisma Cloud), driving vulnerability management and risk-based prioritization, and aligning AI-enabled development with security controls. Collaborates with application engineering, cloud, and platform teams to reduce vulnerability backlog, defines KPIs and reporting for security posture and pipeline coverage, and serves as a technical escalation point for complex security and integration challenges. Requires experience across automation, IaC, AI security risks (prompt injection, data leakage), and familiarity with tools like Snyk, Checkmarx, Veracode, and SonarQube; hybrid in-office minimum 1-2 days per week with policy around commuting distance and no visa sponsorship.
Required Qualifications
- BS/BA in information Technology or related field
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