AI-Assisted Vulnerability Testing Developer
Posted Today by Sriven Systems Inc.
Negotiable
Undetermined
Remote
Remote
Summary: The AI-Assisted Vulnerability Testing Developer will collaborate with security and engineering teams to implement AI-assisted vulnerability testing solutions. This role involves evaluating tools, designing Proof of Concept efforts, and establishing governance frameworks to ensure successful adoption across engineering pipelines. The developer will also assist in scaling and optimizing post-POC efforts while supporting licensing strategies for AI-enabled security tools.
Key Responsibilities:
- 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
Key Skills:
- 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
Salary (Rate): £40.00 hourly
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Title: AI-Assisted Vulnerability Testing Developer
Location: Remote
Key Responsibilities
- 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
Required Qualifications
- 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