Netflix
Senior
Engineer privacy-preserving identity systems for Netflix's ad platform
This role on Netflix's Ads Identity and Audiences team focuses on privacy-by-design engineering for the ad-supported tier — building data minimization, encryption, and deidentification into large-scale identity systems while staying compliant with GDPR/CCPA/CPRA. It's a privacy-specialist software engineering role, not a general backend role, sitting at the intersection of big data (Spark-scale) and regulatory compliance.
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What this interview tests
- Privacy-by-design: data minimization, encryption, deidentification
- Regulatory compliance engineering (GDPR, CCPA, CPRA)
- Large-scale distributed identity systems (Spark-scale big data)
- Privacy Enhancing Technologies and Consent Management Platform integration
- Balancing ad targeting needs against privacy constraints
Common question themes
Design a privacy-preserving identity system for an ad platform
How have you implemented data minimization or deidentification in production
Translating GDPR/CCPA/CPRA requirements into concrete engineering decisions
Building high-throughput, low-latency systems on large-scale data (e.g., Spark)
Experience with Privacy Enhancing Technologies or Consent Management Platforms
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