AI-Assisted Vulnerability Testing Developer

• Collaborate with security and engineering teams to evaluate and implement AI-assisted vulnerability testing solutions
• Identify and assess viable tools and integrations, including:
• AWS Security tools (static and penetration testing capabilities)
• Burp Suite (manual and dynamic testing coverage)
• Snyk (vulnerability analysis, reachability testing)
• GitHub Actions / GitHub Advanced Security
• Design and execute Proof of Concept (POC) efforts to validate AI-assisted testing approaches
• Enable and configure selected solutions within development and CI/CD environments
• Drive the transition from POC to production-ready implementation

Define and establish governance frameworks, including:

• Training and enablement plans
• Documentation and standards
• Security scope and coverage
• Support go-live execution, ensuring successful adoption across engineering pipelines
• Develop a 2027 roadmap for pipeline integration, including scope definition and implementation planning
• Assist with post-POC scaling and optimization efforts, ensuring long-term sustainability
• Support licensing strategy, token usage, and funding considerations for AI-enabled security tools

• 5+ years of experience in application security, DevSecOps, or secure software development
• Hands-on experience with:
• Application security testing tools (SAST, DAST, SCA)
• CI/CD pipeline integrations (e.g., GitHub Actions, Jenkins, etc.)
• Familiarity with AI/ML-assisted development or security tools, including large language model (LLM)-driven workflows
• Experience working with cloud security tools, preferably within AWS environments