Mid
Security-focused SWE building AI agent tooling for vulnerability response
Interview prep for Google's Core team Information Security Engineering role in Singapore, building Go back-end systems and Python AI agents that automate vulnerability triage and variant analysis. This blends software engineering fundamentals with applied security and AI-agent tooling, not a pure pentesting/red-team role.
Step into this interview
Free · a live voice mock calibrated to this exact role
Likely format
Google SWE loop: recruiter screen, coding phone screen(s), then onsite/virtual onsite rounds covering coding, Googleyness/behavioral, and role-related security/systems design.
What this interview tests
- Go back-end system design and implementation
- Python AI agent design for automating security workflows
- Vulnerability triage, variant analysis, and remediation processes
- Data structures and algorithms
- Reasoning about risk/correctness when AI agents make security-relevant decisions
- Collaborating with information security engineers and developer teams
Common question themes
Coding in Go: implement or debug a back-end component
Design an agent-based system to triage incoming vulnerability reports
How would you build tooling to automate variant analysis and reduce manual workload
Data structures and algorithms coding question
How do you validate an AI agent's output before it acts on a security-sensitive decision
Behavioral: collaborating cross-functionally to embed security into development lifecycle
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