Spotify Senior Software Engineer Interview Questions

1.Describe a time when you helped a teammate grow their technical skills rather than just fixing the problem yourself. What was the situation and what was your approach?

2.Tell me about a time you noticed someone on your team was struggling but hadn't asked for help. How did you approach supporting them?

3.Tell me about a time your squad had to make a major technical architecture decision without clear guidance from leadership. What was the decision and how did you approach it?

4.Tell me about a time you took initiative to improve how your team collaborated or worked together. What specific changes did you make and what was the impact?

5.Walk me through a product or technical decision where you had strong data but your gut told you something different. How did you navigate that tension?

6.Describe a time when you had to coordinate with multiple squads to solve a problem that no single team owned. How did you drive alignment without formal authority?

7.You're tasked with migrating our PostgreSQL user preferences table to Bigtable to handle better scale. The table has 100 million rows and the app can't have downtime. What's your migration strategy?

8.Write a function that processes a stream of user listening events and identifies when a user has listened to the same song 3 times in the last hour. How would you optimize this for memory efficiency?

9.You're building a feature flag system for our mobile apps that needs to update user experiments in real-time without requiring app updates. Walk me through your implementation approach.

10.We need to implement rate limiting for our public API that's fair to both individual developers and large enterprise partners. How would you design this system?

11.We're seeing our Kafka cluster backing up during Spotify Wrapped season when traffic spikes 10x. You need to process 500k user playlist updates per second. How would you design the data pipeline to handle this burst?

12.Our recommendation engine needs to serve 50 million users personalized playlists within 100ms. The model outputs are too large to cache everything in memory. How would you architect this?

13.We want to add collaborative playlist editing to Spotify Premium where multiple users can add songs simultaneously. Design the backend to handle conflicts when users edit the same playlist concurrently.

14.Design the infrastructure for A/B testing at Spotify's scale where we need to run thousands of concurrent experiments across 600 million users. How do you ensure experiment integrity while minimizing performance impact?

15.You're building a real-time abuse detection system for Spotify for Artists that needs to identify fake streams within seconds of them happening. How do you design this to scale with our creator ecosystem while minimizing false positives?

16.Design a system for Spotify Ad Studio that allows advertisers to target podcast listeners based on their music preferences without exposing individual user data. How do you balance targeting precision with privacy?

17.Design the backend system for Spotify Wrapped that generates 600 million personalized year-end reports within a 2-week window. How do you ensure all users get their Wrapped experience even if some data processing jobs fail?

18.Design a service discovery system for Spotify's microservices that can handle 100k+ services across multiple regions. The system needs to remain available even when the underlying service registry is partitioned or unavailable.

19.Tell me about a time you had to influence a more senior engineer or technical leader to change their mind on a significant decision. What was your approach?

20.Describe a time when your squad was struggling to make progress on a project and you took action to unblock the team. What did you do?

21.Walk me through a time you disagreed with your squad's product roadmap or technical direction and how you handled it.

22.Tell me about a time you mentored or coached someone whose working style was very different from yours. How did you adapt your approach?

23.Describe a situation where you had to rally multiple squads around a technical initiative that wasn't formally prioritized. How did you build momentum?

24.Tell me about a time you inherited a legacy system or codebase that the team was avoiding. How did you motivate others to engage with improving it?

25.Spotify Wrapped generates massive traffic spikes in early December - about 100x our normal load for 48 hours. Estimate how many additional servers we'd need to provision just for the web traffic portion of this event.

26.A squad wants to run an A/B test that changes how we calculate artist royalty payments to optimize for creator satisfaction. What are the key challenges you'd need to solve to make this experiment feasible and ethical?

27.We're launching Spotify for Artists in a new country where most creators don't have bank accounts but use mobile money. How would you estimate the engineering effort needed to add mobile money payouts to our existing payments platform?

28.Our podcast recommendation algorithm has 15% lower engagement than music recommendations. Walk me through how you'd investigate why and what experiments you'd design to improve it.

29.Estimate how much revenue Spotify loses per year from users who cancel their Premium subscription because of poor audio quality during commute hours when networks are congested.

30.We want to measure how many Spotify users discover new artists through social features versus algorithmic recommendations. Design a measurement framework that accounts for the complex attribution across multiple touchpoints.