Cracking the Roblox Software Engineer Interview: Mastering Rate Limiter Challenges

Roblox | Software Engineer | Interview Experience

Interview Date: Not specified
Result: Not specified
Difficulty: Not specified

Interview Process

During my phone screen interview with Roblox, I was asked about a rate limiter implementation. The interviewer described a scenario where you need to limit the number of requests to an API within a certain timeframe. I presented my understanding of token bucket and leaky bucket algorithms, and chose to implement a token bucket approach.

I explained how the algorithm works, effectively describing how you can refill tokens at a constant rate and how to handle requests when the tokens run out. The interviewer seemed impressed and asked me to write a code implementation on a shared editor.

After completing the code, we discussed edge cases such as token depletion, burst requests, and scaling the solution. The interviewer also asked about potential improvements and trade-offs, including memory usage and response times. I appreciated the interviewer’s guidance throughout and felt it was a productive session that tested my problem-solving skills.

Technical Questions

  1. Rate Limiter (Design, System Design)

Tips & Insights

Be prepared to discuss different algorithms and their trade-offs. Understanding edge cases and potential improvements can help demonstrate your depth of knowledge.