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10h

Netflix Coding Interview Questions

This set of coding questions gives you hands-on practice for real interview scenarios, helping you build the exact skills hiring managers look for at Netflix.

Overview
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Netflix’s coding interviews go beyond algorithm drills. They test how you think, how you communicate, and how you code under real-world constraints. You’ll be expected to solve open-ended problems, explain tradeoffs, and deliver efficient, reliable solutions—often involving concurrency, caching, and massive scale. Each problem mirrors the interview experience with clear constraints, realistic prompts, and guidance to help you approach problems the way Netflix engineers do, from architectural intuition to line-by-line clarity.
Netflix’s coding interviews go beyond algorithm drills. They test how you think, how you communicate, and how you code under rea...Show More

WHAT YOU'LL LEARN

Designing time and space-efficient algorithms.
Using the right data structures in performance-critical systems.
Debugging and optimizing in high-traffic, distributed environments.
Writing concurrent or multithreaded code in your chosen programming language.
Designing time and space-efficient algorithms.

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Learning Roadmap

975 Lessons504 Quizzes503 Challenges

1.

Getting Started

Getting Started

2.

Two Pointers

Two Pointers

Introduction to Two Pointers
Valid Palindrome
Solution: Valid Palindrome
3Sum
Solution: 3Sum
Remove Nth Node from End of List
Solution: Remove Nth Node from End of List
Sort Colors
Solution: Sort Colors
Reverse Words in a String
Solution: Reverse Words in a String
Valid Word Abbreviation
Solution: Valid Word Abbreviation
Strobogrammatic Number
Solution: Strobogrammatic Number
Minimum Number of Moves to Make Palindrome
Solution: Minimum Number of Moves to Make Palindrome
Next Palindrome Using Same Digits
Solution: Next Palindrome Using Same Digits
Lowest Common Ancestor of a Binary Tree III
Solution: Lowest Common Ancestor of a Binary Tree III
Count Pairs Whose Sum is Less than Target
Solution: Count Pairs Whose Sum is Less than Target
Count Subarrays With Fixed Bounds
Solution: Count Subarrays With Fixed Bounds
Get the Maximum Score
Solution: Get the Maximum Score
Find the Lexicographically Largest String From Box II
Solution: Find the Lexicographically Largest String From Box II
Create Maximum Number
Solution: Create Maximum Number
Append Characters to String to Make Subsequence
Solution: Append Characters to String to Make Subsequence
Squares of a Sorted Array
Solution: Squares of a Sorted Array
Reverse String
Solution: Reverse String
Intersection of Two Linked Lists
Solution: Intersection of Two Linked Lists
Remove Element
Solution: Remove Element
String Compression
Solution: String Compression
Partition Labels
Solution: Partition Labels
Next Permutation
Solution: Next Permutation
Rotate Array
Solution: Rotate Array
Remove Duplicates from Sorted Array
Solution: Remove Duplicates from Sorted Array
Valid Palindrome II

3.

Fast and Slow Pointers

Fast and Slow Pointers

21 Lessons

21 Lessons

4.

Sliding Window

Sliding Window

37 Lessons

37 Lessons

5.

Intervals

Intervals

20 Lessons

20 Lessons

6.

In-Place Manipulation of a Linked List

In-Place Manipulation of a Linked List

28 Lessons

28 Lessons

7.

Heaps

Heaps

25 Lessons

25 Lessons

8.

K-way merge

K-way merge

15 Lessons

15 Lessons

9.

Top K Elements

Top K Elements

37 Lessons

37 Lessons

10.

Modified Binary Search

Modified Binary Search

40 Lessons

40 Lessons

11.

Subsets

Subsets

16 Lessons

16 Lessons

12.

Greedy Techniques

Greedy Techniques

43 Lessons

43 Lessons

13.

Backtracking

Backtracking

35 Lessons

35 Lessons

14.

Dynamic Programming

Dynamic Programming

74 Lessons

74 Lessons

15.

Cyclic Sort

Cyclic Sort

12 Lessons

12 Lessons

16.

Topological Sort

Topological Sort

22 Lessons

22 Lessons

17.

Sort and Search

Sort and Search

33 Lessons

33 Lessons

18.

Matrices

Matrices

37 Lessons

37 Lessons

19.

Stacks

Stacks

32 Lessons

32 Lessons

20.

Graphs

Graphs

35 Lessons

35 Lessons

21.

Tree Depth-First Search

Tree Depth-First Search

37 Lessons

37 Lessons

22.

Tree Breadth-First Search

Tree Breadth-First Search

26 Lessons

26 Lessons

23.

Trie

Trie

30 Lessons

30 Lessons

24.

Hash Maps

Hash Maps

48 Lessons

48 Lessons

25.

Knowing What to Track

Knowing What to Track

34 Lessons

34 Lessons

26.

Union Find

Union Find

28 Lessons

28 Lessons

27.

Custom Data Structures

Custom Data Structures

32 Lessons

32 Lessons

28.

Bitwise Manipulation

Bitwise Manipulation

32 Lessons

32 Lessons

29.

Math and Geometry

Math and Geometry

51 Lessons

51 Lessons

30.

Challenge Yourself

Challenge Yourself

40 Lessons

40 Lessons

Certificate of Completion
Showcase your accomplishment by sharing your certificate of completion.
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Every Educative lesson is designed by a team of ex-MAANG software engineers and PhD computer science educators, and developed in consultation with developers and data scientists working at Meta, Google, and more. Our mission is to get you hands-on with the necessary skills to stay ahead in a constantly changing industry. No video, no fluff. Just interactive, project-based learning with personalized feedback that adapts to your goals and experience.

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Frequently Asked Questions

What does the Netflix coding interview focus on?

The Netflix coding interview typically emphasizes problem-solving, algorithmic thinking, and writing clean, efficient code. Expect data structures, algorithms, and sometimes domain-specific challenges related to large-scale systems.

Are Netflix coding interview questions harder than other FAANG companies?

Netflix is known for its high hiring bar and emphasis on senior-level expertise. While the core problem types overlap with other FAANG interviews, Netflix questions often have more open-ended components and may involve designing scalable solutions.

Does Netflix ask LeetCode-style questions?

Yes. Many Netflix coding interview questions resemble medium-to-hard LeetCode problems, but they often include extra constraints or require thinking about real-world scalability.

How should I prepare for Netflix's behavioral interviews?

Netflix values cultural fit and alignment with its core values. Be ready to discuss past experiences, decision-making under pressure, ownership of projects, and how you’ve driven results.

How long is the Netflix coding interview process?

The process typically includes an initial recruiter screen, a technical phone interview, and a multi-round onsite or virtual interview. This can take anywhere from two to six weeks.

What is unique about Netflix coding interviews?

Netflix interviews are known for their practical, real-world problem-solving approach. Instead of only abstract algorithm questions, you may be given scenarios that mirror challenges Netflix engineers face, requiring both technical depth and product thinking.

Will I get practical debugging or code-fixing challenges in the Netflix interview?

Yes, sometimes you may be given a task such as: “The Netflix mobile app doesn’t have feature XXX. We found an open-source app that does, but it doesn’t compile or run. Can you get it to work?” These exercises test your ability to debug, integrate features, and deliver working solutions under time constraints.