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Security Engineer AI Protection

Google

Seattle, WAOn Site

Original Job Summary

About the Role

As a Security Engineer AI Protection at Google, you help protect network boundaries and create safer systems by identifying and mitigating threats. You work directly with network equipment, monitor systems for intrusions, and collaborate with software engineers to fix vulnerabilities.

Minimum Qualifications

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

Preferred Qualifications

  • Experience analyzing systems, threat modeling, and remediation.
  • Proficient in writing production code in Python/Go.
  • Experience in detection and incident response.
  • Solid understanding of security principles.

Responsibilities

  • Design and build anti-abuse detection systems for AI products.
  • Investigate leads and calibrate AI agents.
  • Drive enterprise-focused security improvements across Google products.
  • Research vulnerabilities and respond to AI abuse incidents.
  • Provide secure operational practices and guidance to engineers and analysts.

Key Skills/Competency

  • Security Engineering
  • Threat Modeling
  • Incident Response
  • AI Safety
  • Network Security
  • Python
  • Go
  • Vulnerability Research
  • Abuse Detection
  • Operational Security

How to Get Hired at Google

🎯 Tips for Getting Hired

  • Customize Your Resume: Align experience with security and AI keywords.
  • Research Google: Understand their mission, culture, and innovations.
  • Prepare for Technical Interviews: Practice threat modeling and coding challenges.
  • Showcase Incident Response: Highlight real-world security incident management.

📝 Interview Preparation Advice

Technical Preparation

Review coding challenges in Python and Go.
Practice security assessment and threat modeling scenarios.
Study network security protocols and incident response cases.
Update knowledge on AI misuses and safeguards.

Behavioral Questions

Describe a challenging security incident handled.
Explain teamwork during a security breach.
Share a time you learned from failure.
Discuss handling pressure in critical incidents.