AI-Assisted Vulnerability Testing Developer

Stellent IT LLC

St. Augustine, United States

2 months ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Working hours

Regular working hours

Job source

dice.com

Tech stack

Artificial Intelligence Amazon Web Services Software System Penetration Testing Burp Suite Cloud Computing Security Code Coverage Continuous Integration Github Open Web Application Security Systems Development Life Cycle Software Engineering Systems Integration

+8 more

Software Vulnerability Management Large Language Models Software Security Devsecops Jenkins Static Application Security Testing Vulnerability Analysis Dynamic Application Security Testing

Job description

We are seeking an AI-Assisted Vulnerability Testing Developer to support the advancement of next-generation application security capabilities leveraging AI-assisted frontier models and Mythos-driven dialogue frameworks. This role will focus on expanding AI-driven vulnerability testing into enterprise code pipelines, enabling scalable, automated, and intelligent security validation across the software development lifecycle., * 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

Requirements

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
Strong understanding of:
Application security principles (OWASP Top 10, vulnerability management)
Software development lifecycle (SDLC)
Ability to translate security findings into practical engineering solutions, Experience with:
AI frameworks or LLM-integrated security workflows
Snyk, Burp Suite, or similar tools
GitHub Advanced Security
Exposure to enterprise security governance and compliance frameworks
Experience supporting POC-to-production transitions in security or DevSecOps initiatives
Knowledge of AI cost modeling, token usage optimization, or tooling licensing strategies Soft Skills
Strong problem-solving mindset with ability to evaluate emerging technologies
Excellent collaboration skills across engineering, security, and leadership teams
Ability to operate with high ownership in ambiguous, evolving environments
Effective communicator capable of driving technical alignment and adoption