AI-Assisted Vulnerability Testing Developer

Remote • Posted 5 hours ago • Updated 5 hours ago
Contract Independent
Contract W2
10 Months
Remote
$50/hr
Fitment

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Job Details

Skills

  • Amazon Web Services
  • GitHub
  • Machine Learning (ML)
  • POC
  • Penetration Testing
  • Licensing
  • Burp Suite
  • Collaboration
  • Cloud Security
  • Artificial Intelligence
  • Large Language Models (LLMs)
  • Continuous Integration
  • Dynamic Testing
  • DevSecOps
  • Roadmaps
  • Software Security
  • Training
  • Optimization
  • Jenkins
  • Testing

Summary

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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10238807
  • Position Id: 9011690
  • Posted 5 hours ago
Contact the job poster
MM

Meghana Morra

Recruiter @ Sriven Systems Inc.
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