Senior Staff Security Engineer, Gcp Cyber Defense Center

Google Google · Big Tech · Sunnyvale, CA +1

Senior Staff Security Engineer for Google Cloud's Cyber Defense Center, focusing on modernizing threat detection and incident response capabilities, particularly against AI-driven attacks. The role involves leading the development of unified security detection platforms, integrating AI/ML for accelerated threat detection and automated response, and architecting solutions for systemic remediation of security incidents. This position requires deep experience in cloud security, incident response, and applying AI/ML to security challenges.

What you'd actually do

  1. Define, own, and drive the multi-year technical vision and strategy to modernize Google Cloud’s threat detection and incident response capabilities, preparing for the next wave of AI-driven attacks.
  2. Lead the development of unified security detection platforms and operational standards, driving widespread adoption of automated detection and response tools across all Cloud engineering teams.
  3. Pioneer and integrate advanced Artificial Intelligence (AI) and Machine Learning (ML) capabilities to accelerate threat detection and automate response.
  4. Architect novel approaches to identify systemic root causes of high-severity incidents, and drive cross-organizational programs to remediate them.
  5. Act as a technical leader for detection engineering across Google Cloud, providing architectural guidance and resolving the complex security escalations and architectural tradeoffs.

Skills

Required

  • 10 years of experience with security assessments, security design reviews, or threat modeling.
  • 10 years of experience in security engineering, software engineering, or a related technical discipline, with a focus on systems.
  • Experience in designing, building, and securing cloud-based infrastructure and services.
  • Experience in multiple security domains, particularly incident response, threat detection, network security, and data protection.

Nice to have

  • Master's degree or PhD in Computer Science or a field related to systems or security engineering.
  • Experience applying AI/ML to solve complex security problems, such as threat intelligence, anomaly detection, or automated response.
  • Deep understanding of detection system design, architectural patterns, software failure modes, and development processes at scale.
  • Ability to quickly assimilate new architectures, designs, and languages and to translate deep technical complexity into business outcomes for senior leadership.
  • Recognized contributions to the security community, such as threat research, publications, open-source tools, or presentations at major security conferences.

What the JD emphasized

  • AI-driven attacks
  • AI/ML capabilities
  • applying AI/ML to solve complex security problems

Other signals

  • AI-driven attacks
  • AI/ML capabilities to accelerate threat detection
  • applying AI/ML to solve complex security problems