Security Engineer, AI Protection

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
  
• 2 years of experience with security assessments or security design reviews or threat modeling.
  
• 2 years of experience with security engineering, computer and network security and security protocols.
  
• 2 years of coding experience in one or more general purpose languages.
  

Preferred qualifications:

• Experience in analyzing systems and identifying security and abuse problems, threat modeling, and remediation.
• Experience writing production code in Python/Go.
• Experience in detection and incident response.
• Experience with security principles.

About the job

There's no such thing as a "safe system" - only safer systems. Our Security team works to create and maintain the safest operating environment for Google's users and developers. As a Security Engineer, you help protect network boundaries, keep computer systems and network devices hardened against attacks and provide security services to protect highly sensitive data like passwords and customer information. Security Engineers work directly with network equipment and actively monitor our systems for attacks and intrusions. You also work with software engineers to proactively identify and fix security flaws and vulnerabilities.

You use your industry experience to own and drive the resolution of complex security incidents, policy questions and technical security issues.

In this role, you are a subject matter expert in AI safety and security. You will be responsible for identifying emerging patterns and trends across a full-spectrum of threats and translating the findings into insights and protections. You will leverage the knowledge and passion for learning new things to help the teams to solve the classes of challenging problems in AI safety and misuse at Google scale.

Responsibilities

• Design and build implementation for anti-abuse detection and action systems, including detection and enforcement AI agents, to protect Google Cloud and Workspace AI products.
• Investigate leads and incidents to calibrate AI agents and improve their performance.
• Drive enterprise focused security improvements to Google products and services. Research and reproduce vulnerabilities.
• Respond to AI abuse and misuse incidents, investigate, communicate, and take actions.
• Review and develop secure operational practices, and provide security guidance for engineers and analysts.