Netflix Software Engineer Intern Interview Experience
Netflix · Intern · Software Engineer
My system design round was literally, “You’re a Netflix subscriber, you forgot your password. Design everything that happens after you click the forgot password button,” including all the behind the scenes flow and edge cases.
Interview process
My Netflix intern process was four rounds total if I count the OA: two CodeSignal assessments first, then a live coding round, then system design, and then a hiring manager round. I was nervous at every step because Netflix has such a high bar, but the people I met were really free and welcoming, so it felt less like an interview and more like working through things with engineers. The most unusual part to me was the AI-assisted assessment early on and then the longer team-matching wait before the hiring manager round. The earlier rounds usually took about a week to hear back from, but I waited around three weeks for the manager step. Once I got to the manager round, it honestly felt almost definite that I was very close, and I ended up getting the offer.
Interview rounds · 4
- 1
Online assessment
CodingData Structures & AlgorithmsArtificial IntelligenceTechnicalI started with two CodeSignal assessments, and the unusual part was that one was the normal coding screen while the other was more of an AI-assisted or vibe-coding test to see how I would use AI in a work setting.
Q1. I had a general CodeSignal coding assessment with data structure style problems.
How they answeredI do not remember the exact prompts, but it was the usual data structure kind of problems where I had to get to an optimal solution under time pressure. The difficulty felt around medium to hard, and it was pretty standard CodeSignal in that sense.
Q2. I also had an AI-assisted coding assessment on CodeSignal.
How they answeredThis one felt more like they were testing how I interact with AI properly, not just whether I can code alone. I think Netflix wants to see how someone would actually use AI at work, which made this part feel different from the normal OA.
- 2
Technical round
CodingData Structures & AlgorithmsTechnicalThe next round was a 1 hour live coding interview on CodeSignal with one main interviewer and, I think, one shadower, and it felt more like working through on problem together with an engineer than being grilled.
Q1. You are given a list of daily performance scores for Netflix websites. Declines are ranked by severity and length, with severity more important than duration. A decline is severe if the drop is greater than 7 and long if it lasts more than about 3 days. Return the start date, end date, start value, end value, and length of the most significant decline.
How they answeredI talked through how I would scan the list and track the most significant decline while keeping the ranking rule straight that severity mattered more than duration. When they wanted more clarity on why I was taking a certain route, I just reinforced my point more clearly and kept narrating my thinking. It was one long problem, and the interviewer gave me space to explain instead of cutting me off.
Follow-up questions- Why do you want to go with that approach?
- 3
Technical round
System DesignTechnicalThe system design round was about 45 minutes plus time for questions, and I drove the conversation with diagrams after first narrowing the scope with clarifying questions.
Q1. Let’s say you are a Netflix subscriber and you forget your password. Design the flow for what happens after a subscriber clicks the forgot password button, including everything happening behind the scenes.
How they answeredSeemed like a pretty standard system design interview. I did not feel pushed into random areas outside the scope because I had already narrowed it down well.
Follow-up questions- How would you handle edge cases?
- How would you think about latency?
- How would you think about scalability?
- 4
Final / onsite round
BehavioralArtificial IntelligenceProject DiscussionAfter the design round, I waited because of team matching, and then I had a 45-minute hiring manager conversation that felt like the last real check before the offer.
- Q1. Tell me about a time you got feedback, or a time you gave feedback before.
- Q2. How do you use AI in your day-to-day activities?
- Q3. Tell me about a past project and what stands out to you from it.
Tips from the candidate
I would prep hard on the basics and then go in with the mindset that the engineers are not against you. For coding, I used LeetCode, NeetCode, and a lot of mock interviews, and that helped me talk through problems clearly instead of freezing. For system design, having a structure in my head for functional requirements, nonfunctional requirements, high-level architecture, and data model helped me stay grounded. Also ask clarifying questions early, and do not go in scared or overly nervous because that really affects how you think. I would also say be positive and actually interact with them like a person because that made a big difference for me.
Company culture
You can tell that Netflix is hiring with a really high bar, but the interview experience itself felt surprisingly welcoming. Every interviewer I spoke with reassured me that I could be free to voice my thought process, and that made the rounds feel collaborative instead of tense. They also seem very interested in how candidates use AI in practice, because one of the assessments was specifically around AI-assisted coding and the manager round asked about AI in day to day work too. The hiring manager step also felt tied to actual team need since there was a real background and team matching process before that round. Once I got there, it felt like they were already pretty serious about bringing me in.