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Microsoft AI Penetration Tester Team Lead - Offensive Cybersecurity 
United States, Washington 
708272235

17.12.2024

Required Qualifications

  • Bachelor's Degree in Computer Science, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, PowerShell, or Python

    • OR equivalent experience.

  • 3+ years of combined experience in planning, organizing, and developing offensive cybersecurity capabilities in areas like cybersecurity architecture, engineering, software development, or technical risk consulting.
  • 3+ years of experience as a team lead or functional leader of security professionals in a fast-paced, technical organization AND identifying security vulnerabilities, understanding the software development lifecycle, large-scale computing, modeling, cybersecurity, and anomaly detection.
  • 2+ years of experience using common penetration testing tools such as Kali Linux, Burpsuite, Nmap, and Nessus

Additional or Preferred Qualifications

  • Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
    • OR Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
    • OR equivalent experience.
  • 2+ years experience Penetration testing qualifications; GPEN/GXPN, GWAPT, OSCP/OSCE, CRT/CCT/CCSAS.
  • Microsoft Azure Certifications; AZ-900, AZ-500.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
Microsoft will accept applications for the role until December 19, 2024.
Responsibilities
  • Drive divisional long-term security objectives and strategies, tailored to the unique risks of a global sales, consulting, and support division, and translate them into practical execution plans.
  • Lead and Motivate Team Members: Inspire and guide the team to meet set objectives and ensure high performance. This includes providing the necessary support (mentoring) to achieve objectives and goals.
  • Develop and Implement Strategies: Create and execute strategies that the team will use to reach its goals. This involves planning and organizing tasks effectively.
  • Provide Training and Development: Identify training needs and provide opportunities for team members to enhance their skills to ensure the team is well-equipped to handle the challenges of AI penetration testing.
  • Facilitate Communication and Collaboration: Ensure open communication within the team and with other teams and stakeholders.
  • Monitor Operations: Regularly assess the operational performance of the overall team. Provide feedback and make necessary adjustments to improve efficiency and effectiveness.
  • Lead team missions and efforts to discover and exploit vulnerabilities in AI systems to assess their security.
  • Provide leadership support of offensive operations on production AI systems using real-world adversarial tactics to identify failures.
  • Develop and enhance tools and techniques to scale and accelerate offensive emulation and vulnerability discovery for AI systems.
  • Collaborate with various teams to influence the measurement and mitigation of vulnerabilities in AI systems.
  • Conduct research on new and emerging threats to inform the organization, including prompt injection, and improve penetration testing efficacy and accuracy.
  • Stay current with penetration testing tools, methodologies, tactics, and mitigations through continuous research.
  • Develop, operationalize, and maintain penetration testing procedures and methodologies.
  • Produce high-quality papers, presentations, and recommendations for key stakeholders.
  • Collaborate with other Offensive Security personnel at Microsoft to leverage the latest trends and identify opportunities for attack.
  • Lead the discovery of problems and identification of vulnerabilities in Generative AI and AI systems.
  • Embody our and .