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Netflix
Mid
Detection Engineer, Netflix Detection & Response
Interview prep for a Detection Engineering role on Netflix's Detection & Response org, building detection-as-code across endpoint, network, identity, and cloud telemetry to catch attacker activity fast.
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What this interview tests
- Detection-as-code design and scaled deployment
- Cross-source log analysis and correlation (endpoint/email/network/identity/cloud)
- Risk-based prioritization of attack paths
- Python/SQL automation in cloud environments
- Cross-team stakeholder communication under ambiguity
Common question themes
Design a detection for a specific high-risk attack path and justify prioritization
Walk through investigating a suspicious log pattern across multiple data sources
How would you build and test a detection-as-code pipeline
Tell me about a time you drove a security initiative with little oversight
How might GenAI be applied to automate a detection workflow
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