How Netflix Interviews in 2026: Process, Questions & What They Score

1. 01

   Standard data-structure problems with a practical twist (e.g., variants of Two Sum, Longest Substring Without Repeating Characters, Longest Palindromic Substring) rather than pure textbook LeetCode

   Tests hash-map and sliding-window patterns on arrays and strings; practical variants of Two Sum and longest-substring problems.

2. 02

   Implement a TTL (time-to-live) cache with an eviction strategy

   Tests cache design: hash map plus expiry tracking, eviction policy choice, and clean API design under time constraints.

3. 03

   Build a collapsible list/table UI component driven by a dynamic (e.g., JSON-based) data set

   Frontend exercise; tests recursive rendering of dynamic JSON data and component state for expand/collapse.

4. 04

   Traverse an org chart represented as a tree to calculate levels or aggregate values

   Tests tree traversal (BFS/DFS) applied to an org chart: computing levels and aggregating values per subtree.

5. 05

   Product of Array Except Self (prefix/suffix product, no division) style array manipulation problems

   Tests the prefix/suffix product trick to hit O(n) without division; a classic array manipulation pattern.

6. 06

   Debugging/problem-solving exercises where you're handed a partially broken piece of code or spec and must ask clarifying questions before fixing it

   Tests debugging skill and requirement clarification; interviewers watch how you probe a broken spec before fixing code.

7. 07

   Two-part coding problems that expand into a lightweight system-design or scaling discussion once the base solution works

   Tests whether a working solution can be extended; the follow-up probes scaling and design tradeoffs beyond the initial code.

Reported problems, listed so you know what to expect. Practice them in your own editor or on the platform you prefer; SupaCV's practice mode coaches how you talk through them.

1. 01

   Design Netflix's video streaming architecture / a system that streams video to millions of users globally (CDN, adaptive bitrate, encoding, global scale)

   System design: they probe CDN strategy, adaptive bitrate streaming, encoding pipelines, and global-scale delivery tradeoffs.

2. 02

   Design a personalized recommendation system (e.g., what a user sees after selecting a viewing profile)

   System design: they probe candidate generation vs ranking, feature storage, and serving personalized results at low latency.

3. 03

   Design a content delivery / caching system that can survive regional outages or traffic spikes during a big show release

   System design: focus on cache hierarchies, regional failover, and absorbing traffic spikes during large releases.

4. 04

   Design a frequency-capping system for an ads platform (don't show the same ad more than N times to a user)

   System design: tests per-user counting at scale, fast reads and writes, and consistency tradeoffs for enforcing ad caps.

5. 05

   Design an event-logging / analytics pipeline and justify architecture tradeoffs (e.g., whether you'd own the client libraries)

   System design: they probe event ingestion, pipeline architecture, and tradeoffs like owning client libraries vs open ingestion.

6. 06

   'Reverse system design': walk the interviewer through the largest-scale real system you've already built, including how you scaled and managed it

   Tests depth on a system you actually built; expect probing on scaling decisions, failures, and what you would change.

7. 07

   Open-ended discussions on availability, security/DDoS resilience, and tradeoffs, often conducted verbally with no shared whiteboard, expecting the candidate to reason aloud rather than follow a memorized framework

   Tests verbal reasoning about availability, DDoS resilience, and tradeoffs without a whiteboard; structure your thinking aloud.

Reported problems, listed so you know what to expect. Practice them in your own editor or on the platform you prefer; SupaCV's practice mode coaches how you talk through them.

1. 01

   Tell me about a time you disagreed with your manager or a decision and weren't able to persuade others

2. 02

   Tell me about critical or difficult feedback you received and how you applied it

3. 03

   Describe a time you demonstrated courage in your work or challenged a norm

4. 04

   Tell me about a time you gave a coworker difficult feedback

5. 05

   Tell me about a mistake or something you screwed up at a previous job, and what you learned

6. 06

   Describe an obstacle you've overcome or a complex project you led

7. 07

   How do you prioritize and stay organized when handling competing projects or extreme deadline pressure?

8. 08

   What is something you're proud of having worked on, and how would you make Netflix even better?

1. 01

   Why do you want to work at Netflix? (interviewers explicitly check whether the candidate has actually read the Culture Memo)

2. 02

   What does 'freedom and responsibility' mean to you, and how have you exercised that kind of autonomy in past roles?

3. 03

   Describe a time you made a high-stakes decision with limited oversight or process

4. 04

   What is a genuine weakness of yours, and what are you doing about it? (Netflix explicitly wants a real answer plus an improvement plan, not a deflection)

5. 05

   How do you define being a 'stunning colleague,' and how have you been one?

6. 06

   How do you handle direct, high-candor feedback, including the possibility that part of an interview panel might not want to hire you?