1p3a Experience · May 2026

netflix software engineer technical phone screen interview experience

SWE Phone Screen newgrad
2 upvotes 7 replies

Interview Experience

Coding 第一题:给一个string array,求最长连续相同子数组 第二题:给一个string array,求最长不包含重复string的子数组 第三题:给一个string array,求所有不包含任何相同字符的string pair。 比如 input: ['a', 'ab', 'b'], output: [[0, 2]] 第三题只写了O(n^2)的解,面试官没有要求优化。后面聊了半个小时的天,聊了很多工作的经历和技术上的一些问题,还有在公司的工作体验。 Problem Solving 第一题:王菲主页,每一行有若干个电影,删掉重复的电影,如果这一行已经有了6个,后面的可以重复 Follow up 1: 每一行去重的阈值是动态的,可以是6个,也可以是任意个 Follow up 2: 只需要去重前N行,后面的可以重复 Follow up 3: 有条件去重,某些比较特殊的行,不需要去重 这个时间有点紧,中间出了一个bug,写了一些test case和log,把bug解决之后差不多时间就到了。确实没有想到有三个follow up。 最终是挂了,整个沟通互动应该...

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About Netflix Interview Reports

This question was reported by a candidate who interviewed at Netflix. LeakCode aggregates interview reports from 10+ sources, including 1Point3Acres, Glassdoor, LeetCode Discuss, Blind, Reddit, Indeed, and Nowcoder. Each report is translated where necessary, deduplicated against existing entries, and tagged by company, role, round type, and reporting date.

Use this question as one calibration data point, not a memorization target. Companies typically rotate their question pools every 2-4 months; the exact wording of a 2024 question may differ from what you encounter today. The underlying pattern, difficulty level, and follow-up depth at Netflix are the higher-signal extractions to take from this report.

For broader preparation context, the Netflix interview process typically includes a recruiter screen, one or two technical phone screens, and a 4-5 round on-site loop covering coding, system design (at L4+ levels), and behavioral. Reports tagged on LeakCode show the round-by-round distribution and typical difficulty calibration. To browse questions filtered by round type and seniority, use the company hub linked above.

How To Practice This Type of Question

Solve similar problems on LeetCode under timed conditions (25-35 minutes per medium difficulty). The goal is pattern recognition: recognize the underlying technique (sliding window, two-pointer, BFS, memoized recursion, etc.) within 60-90 seconds of reading. Strong candidates verbalize their hypothesis out loud before coding, then iterate based on feedback. Weak candidates dive into implementation immediately, lose time on the wrong approach, and run out of time for follow-ups.

Companies update their question pools every 2-4 months. The exact wording of any given question may have been retired by the time you interview. Focus your prep on the pattern, not the specific problem. The patterns that appear in Netflix reports consistently are the ones worth investing in; one-off niche problems are not.

During Your Netflix Round

Apply the standard interview round template: clarify requirements (2-3 minutes), state your approach out loud and confirm direction with the interviewer (3-5 minutes), code with narration (15-25 minutes), test with concrete examples including edge cases (5 minutes), discuss optimization or trade-offs if time permits (5 minutes). This template is universally accepted across FAANG and adjacent companies; deviating from it produces weaker interviewer feedback signal.

The single most predictive failure mode in Netflix reports tagged "no hire": not asking clarifying questions. Interviewers are explicitly trained to weight this. Strong candidates ask 3-5 clarifying questions even on problems that look obvious; weak candidates dive into code immediately. The clarifying-question check is often the first signal recorded in the interviewer's written notes.