[ OK ] 73b2773c-61b1-44ea-96ca-506aea95ee78 — full writeup
[ INFO ] category: Behavioral · Multiple Types difficulty: 7 freq: first seen: 2026-01-30
[7][MULTIPLE TYPES]System DesignData ModelingTreesBehavioral Questions
$ 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, Data Modeling, Trees, Behavioral Questions
Location: Los Gatos, CA
Interview date: 2025-08-15
Got offer: False
Summary
Round 1: System Design
Question: Designing an Ads frequency cap system. The feedback was that my scalability discussion and communication weren't clear enough.
Round 2: Data Modeling
Question: Data modeling for ads. I felt the interviewer didn't understand my approach despite clarifications.
Round 3: Coding
Question: A tree-related problem similar to finding the depth of a tree, requiring test case implementation.
Round 4: Behavioral (BQ)
Question: General behavioral questions, including details about leading projects, debugging, and giving feedback.
Round 5: Behavioral (BQ)
Question: More behavioral questions with similar themes to Round 4.
Details
Preparation Tips & Key Takeaways
What I Learned
- Communication is extremely important at Netflix, especially in System Design.
- System Design is a weakness that I need to improve.
- Actively communicating with the interviewer during coding rounds can be beneficial.
Recommended Preparation
Coding Practice
- Practice tree-related problems and focus on writing comprehensive test cases.
System Design
- Study scalability concepts in depth.
- Improve communication skills to clearly articulate design choices.
Behavioral Questions
- Prepare detailed STAR stories about leadership, debugging, and feedback.
- Tailor my stories to align with Netflix's culture memo.
Resources I Recommend
- Review Netflix's culture memo to understand their values and expectations.
- Practice communicating system design ideas with peers and mentors.
Common Pitfalls to Avoid
- Not adequately addressing scalability concerns in system design.
- Failing to communicate design choices clearly and concisely.