Associate
Use AI to find and auto-fix vulnerabilities across Google Cloud's codebase
Google Cloud's security engineering team is hiring a software engineer to build AI-based pipelines that discover novel vulnerabilities across billions of lines of code and automate fixes before they reach production. The role blends backend API development for developer-facing security tools with applying ML/AI to security assessment workflows, at a junior-to-mid level (2 years of software development experience, or 1 with an advanced degree).
Step into this interview
Free · a live voice mock calibrated to this exact role
Likely format
Google's standard SWE loop: phone screen(s) with coding, then onsite/virtual onsite with coding, system design, and Googleyness/leadership behavioral rounds.
What this interview tests
- Secure backend API design for developer-facing tools
- AI/ML pipelines for vulnerability discovery and automated remediation
- Distributed systems security assessment and guardrails
- System telemetry and security data analysis
- Mentoring and cross-stakeholder alignment on security milestones
Common question themes
Design a secure API for a developer-facing security tool
Sketch an automated pipeline that uses AI to find and fix a class of vulnerabilities
How would you assess and harden the security of a given distributed system design
A time you found a gap in a system through log/telemetry analysis and fixed it durably
Fundamentals: secure coding practices and vulnerability analysis basics
Related interviews
Senior
Software Engineer, Serverless Networking, Infrastructure
Staff
Staff Software Engineer, Mobile (Android), YouTube
Associate
Software Engineer
GitLab
Senior
Senior Backend Engineer (RoR/Go), SSCS: Pipeline Security
Senior
Senior Backend Engineer, IAM
Stripe
Senior