Design and implement security architectures, controls, and processes to enhance the overall security posture.
Review designs and provide security guidance to improve security of Google data centers and management platforms.
Minimum qualifications
Bachelor's degree in Computer Science, Cybersecurity, related technical field, or equivalent practical experience.
5 years of experience with security engineering, computer and network security and security protocols.
5 years of experience with security assessments or security design reviews or threat modeling.
Experience securing cloud and on-premise infrastructure (e.g., networking, virtualization) and platforms (e.g., OS hardening, containers, and orchestration).
Experience building, deploying, and using AI/ML-driven approaches for security workflows (e.g., vulnerability identification, risk evaluation, remediation).
Preferred qualifications
Experience consulting product teams on security issues throughout their entire product lifecycle.
Experience with both offensive and defensive security practices
Experience with defining engineering roadmaps for attack surface reduction and cyber risk management.
Proven track record of successfully designing, implementing, and managing security projects. Proven track record of leading engineering teams in a technical capacity to solve complex problems.
Excellent communication, team-work, teamwork and organizational skills
Excellent communication skills and a proven track record of collaborating across functional boundaries to drive alignment and technical execution.
Bachelor's degree in Computer Science, Cybersecurity, related technical field, or equivalent practical experience.
5 years of experience with security engineering, computer and network security and security protocols.
5 years of experience with security assessments or security design reviews or threat modeling.
Experience securing cloud and on-premise infrastructure (e.g., networking, virtualization) and platforms (e.g., OS hardening, containers, and orchestration).
Experience building, deploying, and using AI/ML-driven approaches for security workflows (e.g., vulnerability identification, risk evaluation, remediation).