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Netflix Interview Questions
& Process

Real candidates share what happened, how many rounds they had,
and how the experience turned out.

Based on 1,610 interview experiences · FREE TO READ

2.7 Rounds average
28 Day average
Average Typical difficulty
49.1% Positive experience

Which role are you interviewing for?

30 roles · 1,610 reports

Candidate interview experiences

First-hand accounts from people who interviewed at Netflix.

Showing 4 of 1,610
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Software Engineer

Engineering · United States · nearly a year ago

Senior Average Positive experience No offer 6 rounds
Interview process
Recruiter call Phone screen Onsite
Interview formats
Behavioral Technical Coding System Design Other

Recruiter screen with a high level discussion. Technical phone screen with a live programming exercise. Virtual onsite with 3 technical rounds and two culture/behavioral rounds. Very helpful recruiter team that will spend time walking through the process and expectations. Exercises are realistic applied engineering work, not brain teasers, obscure algorithms, or stuff you haven't touched since college. Process can vary across the org so YMMV. I interviewed with the Content and Business Products side (tools for studio and production, not end-user streaming) and the coding, system design, and data modeling rounds all reflected that. My advice: study their published OSS software, know your stuff, and stay calm.

Confirmed questions1 question
  • Tell me about a time when you had a conflict with someone who wasn’t in your own group.
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Netflix

Account Executive

Sales · New York, NY · nearly a year ago

Mid Easy Positive experience Accept offer 1 round
Interview process
Onsite
Interview formats
Behavioral

The interview process was pretty smooth and straightforward; it felt more like an easy conversation than an interrogation. The interviewer was friendly and approachable, which instantly made me feel comfortable. We talked about my experiences and aspirations in a casual way, letting me express myself honestly. There were a few laughs, and I liked how they encouraged me to ask questions, making it feel like a two-way dialogue instead of a one-sided evaluation. In the end, I walked out of the interview feeling positive and excited about the chance of joining the team.

Confirmed questions1 question
  • Where would you like to be with this company in 5 years?
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Netflix

Data Engineer

Engineering · Warsaw, Masovia · nearly a year ago

Senior Difficult Neutral experience No offer 3 rounds
Interview process
Recruiter call Technical screen Technical screen Onsite Onsite Onsite
Interview formats
Behavioral Technical Coding System Design

Screening round is made of 3 interviews: hr call, coding, manager. First one is pretty standard, they just wanna know why you applied and your career. Second is a mix of python and sql applied to a simple data model about netlfix where you have to prove you can code basically. Third is a catchup with the hiring manager and you are asked more in depth questions about what you have worked on in the past. If you pass the screening phase then you have the second round: 2 coding interviews and another HR interview where they go in depth about their culture. One coding round is with a data engineer more focused on the analytics, so it's similar to the coding interview of the screening round, they just go more in depth. The other coding interview is done by a software engineer and they wanna test your algo and data structures skills, it's not leetcode but still you are asked an algorithmic question related to a problem you might face at netflix. Last round should be other 2/3 more interviews with stakeholders and engineering director, but I did not make it here so that's all i know.

Confirmed questions4 questions
  • ask to design a data pipeline
  • do you think your solution would actually scale to netflix's data volume?
  • why netflix instead of google?
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Human Resources

HR · Burbank, CA · nearly a year ago

Mid Very difficult Negative experience No offer 2 rounds
Interview process
Recruiter call Onsite
Interview formats
Behavioral

The interview journey was intense, and I met many thoughtful and kind people throughout. After making it to the final round, I didn’t get the outcome I hoped for. It felt really disappointing not to move forward, especially after spending nearly four months interviewing while also managing a full-time job. I wanted clearer feedback on why I wasn’t chosen and some help exploring other roles within Netflix. After all that time and effort, I only got one short follow-up chat with a recruiter, which left me with more questions than answers. With my background, I honestly believed I could have been a strong cultural fit, and I hoped such a long process might open doors to other opportunities. Saying I felt let down doesn’t even quite cover it.

Confirmed questions1 question
  • Tell me about a time when you had to give feedback to someone who was a tough critic

Netflix Interview Questions

Quoted word for word from Netflix interview reports.

if netflix was thinking about putting money into a second season of a popular show, what financial metrics would you look at to decide if it’s a good move?

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How would you estimate the market size of people who would play Catan on a TV with their friends?

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What are some of the common algorithms used in recommender systems for media apps?

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How do you think the streaming landscape will change over the next 5–10 years?

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Difference between flask and django? and when would you pick each one Difference between sdk and api? and when would you pick each one

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How would you implement dynamic filtering of results from a REST API based on the user input query?

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How fast would the turnaround be after they send you a text copy – they wanted the turnaround based on the number of words.

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What would you take into account when you have to decide the cost of IP?

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Formats, difficulty and experience

Across all 1,610 Netflix interview reports.

Interview formats

Behavioral 41.9%
Other 25.7%
Technical 15.7%
Coding 7%
System Design 3.3%

Interview difficulty

Easy 19.2%
Average 55.2%
Difficult 25.6%

Candidate experience

Negative 27%
Positive 49.1%
Neutral 23.9%

Reports by job function

Operations 455
Engineering 453
Marketing 156
Other 131
HR 94
Analytics 83