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Netflix·Software Engineer·Technical Phone Screen·Intermediate

Intermediate
Apr 2026

Summary

Netflix SWE coding round, one problem the whole time, a twist on the classic parentheses generation problem. Pretty standard vibe but the modification kept it from being a total freebie.

Questions Asked (1)

Q1

Given a number n, generate all valid combinations of n pairs of parentheses, with a specific modification to the classic problem.

Algorithms & Data Structures
Author's notes

Knew the base problem cold so I jumped straight into the recursion.

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AI HintsAI Generated

Suggested Approach

First, clarify the specific modification to the classic parentheses generation problem, as it could involve different constraints like unique combinations, balanced parentheses with wildcards, or additional characters. Then, outline a backtracking approach that builds the string incrementally while maintaining validity, and discuss how the modification affects the algorithm's logic and complexity.

Pro tip: Demonstrate awareness of Netflix's engineering culture by emphasizing scalability and efficiency: mention how your solution can handle large n without excessive memory usage, and discuss potential optimizations like pruning invalid branches early.

1. Clarify the Modification

Ask the interviewer to specify the exact modification to the classic problem, as it could involve different constraints (e.g., unique combinations, additional characters, or different validity rules). This ensures you solve the correct problem.

2. Outline Backtracking Approach

Describe a recursive backtracking algorithm that builds the parentheses string character by character, ensuring at each step that the number of closing parentheses does not exceed opening ones. Explain how the modification changes the validity condition or pruning logic.

3. Analyze Complexity and Optimizations

Discuss the time and space complexity (e.g., Catalan number for classic case) and how the modification affects it. Mention potential optimizations like memoization or iterative solutions if applicable.

4. Handle Edge Cases and Test

Identify edge cases such as n=0, n=1, or invalid inputs, and explain how your solution handles them. Walk through a small example to validate the approach.

5. Code and Discuss Trade-offs

If asked, write clean code for the solution, and discuss trade-offs between different approaches (e.g., recursion vs. iteration, memory usage).

Key Points to Mention

  • Backtracking with pruning to avoid invalid states
  • Validity condition: at any point, close count <= open count, and total opens = closes = n
  • Time complexity: O(4^n / sqrt(n)) for classic problem (Catalan number), and how modification changes it
  • Space complexity: O(n) for recursion stack, plus output storage
  • Handling the specific modification: e.g., if it's about unique combinations, use a set; if it's about additional characters, adjust the backtracking parameters
  • Scalability considerations for large n, such as iterative generation or streaming output

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.