Netflix Engineering Manager Interview Questions

1.Tell me about a time you had a team struggling with delivery, and instead of adding more process or oversight, you took a different approach. What did you do and what happened?

2.Tell me about a time when your team was bogged down by inefficient processes or meetings. How did you address it without creating new bureaucracy?

3.Walk me through the biggest decision you made in the last year where you had significant autonomy but also high stakes. How did you approach it and hold yourself accountable for the outcome?

4.Describe a situation where you needed your team to make a complex decision, but instead of telling them what to do, you provided context to help them decide. What context did you share and how did it work out?

5.Tell me about a time you had to have a difficult conversation with a team member about their performance not meeting the bar. How did you handle it and what was the outcome?

6.Walk me through a time when you had to make a controversial technical or strategic decision that others disagreed with. How did you approach it and what was the result?

7.Our Elasticsearch cluster that powers content search is running at 85% CPU during peak hours. Your team needs to handle 40% more traffic for a major content launch next month. What's your approach?

8.You discover that your team's service has been causing cascading failures during peak traffic because it doesn't handle Redis timeouts gracefully. The quick fix is to add circuit breakers, but the right fix requires significant refactoring. How do you decide?

9.A product team wants to A/B test a new recommendation algorithm, but it requires changes to three different microservices owned by different teams. How do you coordinate this without slowing everyone down?

10.You're reviewing a design doc where an engineer proposes migrating from REST to GraphQL for the Netflix mobile app's content APIs. Walk me through how you'd evaluate this proposal.

11.Your team manages a service that processes 50 million personalization requests per hour. After a Kafka broker outage, your service starts falling behind by 30 minutes on recommendation updates. How do you recover while maintaining data consistency?

12.A critical bug in the recommendation service is causing incorrect content suggestions for kids' profiles. The fix requires deploying to production during peak viewing hours. Walk me through your decision process.

13.Design a system that can instantly disable or modify any feature across Netflix's entire platform when we detect fraud or policy violations. Think about reaching 260 million subscribers within seconds.

14.Our content metadata service serves title information to every Netflix client globally. Design a caching strategy that can handle a major content drop where millions of users refresh the homepage simultaneously.

15.Design the data pipeline that powers Netflix's content trending rankings. It needs to process viewing events from 260 million users and update trending lists in near real-time across all regions.

16.Design the orchestration system for Netflix's content encoding pipeline that processes thousands of video files daily for global distribution. Consider multiple quality levels, different device formats, and strict SLA requirements.

17.Design the real-time bidding system for Netflix's ad platform that can evaluate and bid on millions of ad opportunities per second while respecting user privacy and targeting preferences.

18.Design a chaos engineering platform that can safely inject failures across Netflix's entire microservices architecture while ensuring we never impact the user experience during peak viewing hours.

19.Tell me about a time you had to advocate for killing or significantly changing a project your team had invested months building. How did you approach that conversation?

20.Tell me about a time when you realized your team was working on the right thing but approaching it the wrong way. How did you redirect them?

21.Describe a time when you inherited a team where someone wasn't performing at the level needed. How did you handle it?

22.Tell me about a time you disagreed with a decision from senior leadership but still had to execute on it. How did you handle it with your team?

23.Walk me through a time when you had to influence a senior engineering leader or executive to change their technical strategy. What was your approach?

24.Describe a situation where you had to coordinate across multiple engineering teams to deliver something critical, but you had no formal authority over most of the people involved.

25.Netflix's mobile app crashes are costing us roughly 2% of potential viewing time. Estimate the annual revenue impact if we could reduce crashes by half.

26.You notice that content recommendations for new Netflix subscribers are performing 20% worse than for existing users. Walk me through how you'd investigate and prioritize potential solutions.

27.Netflix wants to launch in a new country where internet infrastructure is poor and data costs are high. Estimate how much we'd need to reduce our mobile app's data consumption to make Netflix viable for the average user there.

28.Our content encoding costs have increased 30% year-over-year while our content library only grew 15%. You have two quarters to get costs back in line. How do you approach this?

29.Netflix's Open Connect CDN serves 15% of global internet traffic. Estimate the cost difference between serving a major content release through our CDN versus falling back to AWS CloudFront if our CDN fails.

30.Netflix's recommendation algorithm needs to surface trending content within 2 hours of it becoming popular, but our current batch processing takes 6 hours. Estimate the engineering investment needed to hit the 2-hour target and whether it's worth it.