AI-Assisted Vulnerability Testing Developer

AI-Assisted Vulnerability Testing Developer

Posted Today by Sriven Systems Inc.

Apply
Negotiable
Undetermined
Remote
Remote
Apply
Amazon Web Services (AWS) Application Security Artificial Intelligence Burp Suite Cloud Computing Cloud Technology Continuous Integration and Continuous Delivery DevSecOps Enterprise Security Github Jenkins Management Open Web Application Security Project (OWASP) Penetration Testing Security Domain Security Testing Software Development Verification And Validation Vulnerability Vulnerability Management

Summary: The AI-Assisted Vulnerability Testing Developer role focuses on enhancing application security through AI-assisted testing solutions. The position involves collaborating with security and engineering teams to implement and validate these solutions within enterprise code pipelines. The developer will also establish governance frameworks and support the transition from proof of concept to production-ready implementations. This is a remote position for a duration of three months with a client in the security domain.

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, Burp Suite, Snyk, and GitHub Actions
  • 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 security scope
  • 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)
  • 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)
  • Understanding of the software development lifecycle (SDLC)
  • Ability to translate security findings into practical engineering solutions
  • Experience with AI frameworks or LLM-integrated security workflows
  • Exposure to enterprise security governance and compliance frameworks
  • Knowledge of AI cost modeling, token usage optimization, or tooling licensing strategies
  • 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

Salary (Rate): £39.00 hourly

City: undetermined

Country: undetermined

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Title: AI-Assisted Vulnerability Testing Developer

Duration: 3 Months

Client: WWT/Guardian Life

Location: Remote
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.

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

Strong understanding of:

Application security principles (OWASP Top 10, vulnerability management)

Software development lifecycle (SDLC)

Ability to translate security findings into practical engineering solutions

Preferred Qualifications

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

Apply
Similar Jobs
Loading data...