[ OK ] b53b0ff9-c14c-4f1c-a88e-d81ee82c08a6 — full writeup
[ INFO ] category: Behavioral · Multiple Types difficulty: 7 freq: first seen: 2026-01-30
[7][MULTIPLE TYPES]System DesignBehavioral QuestionsRate LimiterProduct KnowledgeDomain Knowledge
$ cat problem.md
Netflix — Software Engineer ❌ Failed
Level: Senior-Level
Round: Onsite · Type: Multiple Types · Difficulty: 7/10 · Duration: 300 min · Interviewer: Unfriendly
Topics: System Design, Behavioral Questions, Rate Limiter, Product Knowledge, Domain Knowledge
Location: Los Gatos, CA
Interview date: 2025-03-31
Got offer: False
Summary
Round 1: Phone Screen
Question: Rate limiter coding and system design. I was told I did well.
Round 2: Virtual Onsite 1
Question: System design question on content recommendation system.
Round 3: Onsite Coding
Question: Leetcode meeting room problem.
Round 4: Virtual Onsite 2
Question: Product and domain knowledge behavioral questions with a senior manager.
Round 5: Hiring Manager
Question: Behavioral questions and role expectation discussion with the hiring manager.
Details
Preparation Tips & Key Takeaways
What I Learned
- I needed to brush up on my system design skills, especially for recommendation systems.
- It's important to be prepared for behavioral questions covering both product and domain knowledge.
Recommended Preparation
System Design
- Study content recommendation system architectures.
- Review different rate limiting algorithms and their trade-offs.
Behavioral Questions
- Prepare STAR stories related to product and domain knowledge.
- Practice answering questions about role expectations.
Resources I Recommend
- Online courses on system design and recommendation systems.
- Mock interviews focused on behavioral questions.