AI-Enhanced Penetration Tester

Hace 7 días

Madrid, Area Metropolitana (comarca); Comunidad de Madrid, España Jobrapido Jornada completa

Overview

In this role you apply AI/ML to offensive security, elevating pen-testing, attack-surface monitoring, and vulnerability assurance. You'll drive data-driven insights to strengthen AXA's security posture across cloud, web, and infrastructure. The role sits in Group Security, collaborating with cross-functional teams to embed advanced assurance and proactive defenses. You will innovate with AI tools, simulate complex attacks, and help shape secure development and operations at scale. This is a chance to lead cutting-edge security improvements in a global, tech-led insurer.

Compensaciones / Beneficios

  • equal opportunities and diversity
  • international, global team
  • focus on technology and innovation
  • career development in a tech-led insurer
  • collaborative security culture

Responsabilidades

  • Perform advanced penetration tests across web apps, APIs, networks, cloud (AWS, Azure, GCP) and internal systems
  • Integrate AI/ML into pentesting workflows and tooling for reconnaissance, vulnerability discovery, exploit generation, threat modeling, and payload generation
  • Conduct continuous attack surface monitoring with AI to identify new assets, services, and entry points
  • Lead AI-driven vulnerability landscape assurance, validating scanners and prioritizing remediation with data analytics
  • Develop and customize scripts/tools to augment penetration testing platforms and create offensive security capabilities
  • Document findings with PoC exploits, risk assessments, and remediation recommendations for Dev/Sec teams
  • Stay at the forefront of AI advancements in cybersecurity and explore new AI/ML applications for offensive security
  • Mentor juniors and collaborate with security, development, and infrastructure teams

Requisitos principales

  • 3+ years in penetration testing, ethical hacking or offensive security
  • Demonstrated interest or experience applying AI/ML to cybersecurity
  • Experience with AI-powered security tools for vulnerability scanning, threat intelligence, ASM, or code analysis
  • Programming proficiency in Python; automation and API integration
  • Knowledge of AI/ML fundamentals, NLP, anomaly detection, and data science concepts
  • Cloud security experience (AWS, Azure, GCP)
  • Proficiency with Linux, Windows, macOS; strong networking understanding
  • Familiarity with ML frameworks (TensorFlow, PyTorch, Scikit-learn) and LLMs for offensive security
  • Security certifications such as OSCP, OSWE, OSCE, GXPN, GPEN, CEH are a plus
  • Analytical and problem-solving mindset
  • Clear written and verbal communication
  • Collaborative and cross-functional teamwork
  • Burp Suite
  • Nmap
  • Metasploit