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).
走进这场面试
免费 · 一场按这个岗位校准的真语音模拟
可能的面试形态
Google's standard SWE loop: phone screen(s) with coding, then onsite/virtual onsite with coding, system design, and Googleyness/leadership behavioral rounds.
这场面试考什么
- 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
常见提问方向
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
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