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# AI-Assisted Vulnerability Testing Developer

- **Company:** Sriven Systems Inc.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Software System Penetration Testing, Burp Suite, Cloud Computing Security, Code Coverage, Continuous Integration, Github, Software Engineering, Systems Integration, Large Language Models, Software Security, Devsecops, Jenkins, Static Application Security Testing, Vulnerability Analysis, Dynamic Application Security Testing
- **Published:** June 29, 2026
- **Apply:** https://www.dice.com/job-detail/b4aa8593-f30f-4614-bc24-46efa8491732

## About the Role

* 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

## Description

* 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


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