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Netflix·Software Engineer·Technical Phone Screen·Intermediate

IntermediatePrefer not to say
May 2026Remote

Summary

Netflix coding screen, one problem, pretty focused on efficiency constraints from the start. Not a lot of back-and-forth, just solve it and explain your reasoning.

Questions Asked (1)

Q1

Given an array representing a sequence of shows watched, find the length of the longest streak where the same show appears consecutively. Must run in O(n) time with O(1) extra space.

Algorithms & Data Structures
Author's notes

The O(1) space constraint is what tripped me up at first.

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AI HintsAI Generated

Suggested Approach

Start by clarifying the problem and edge cases, then propose a single-pass solution using two pointers or counters to track the current streak and the maximum streak. Emphasize that this achieves O(n) time and O(1) space by only storing a few variables.

Pro tip: Mention that this is essentially a run-length encoding problem and that the same pattern applies to many streaming data scenarios, showing you can connect the problem to real-world systems at Netflix.

1. Clarify the problem

Ask about input format (e.g., array of strings or IDs), whether the array can be empty, and if there are multiple shows with the same streak. Confirm that 'streak' means consecutive identical elements.

2. Outline the approach

Explain that you will iterate through the array once, maintaining a current streak count and a maximum streak count. When the current element matches the previous, increment the current streak; otherwise, reset it to 1.

3. Walk through an example

Use a small example like ['A','A','B','B','B','A'] to demonstrate how the counters update and how the maximum is tracked. This shows your solution works and helps catch off-by-one errors.

4. Analyze complexity

State that the algorithm runs in O(n) time because it makes a single pass, and uses O(1) extra space since only a few variables are needed regardless of input size.

5. Handle edge cases

Discuss edge cases such as an empty array (return 0), a single-element array (return 1), and arrays where all elements are the same (return n).

Key Points to Mention

  • Single-pass iteration with constant extra space
  • Maintaining current streak and maximum streak variables
  • Time complexity O(n) and space complexity O(1)
  • Edge cases: empty array, single element, all identical elements
  • Comparison with alternative approaches like run-length encoding or using a hash map (which would use extra space)
  • Real-world relevance to streaming data and Netflix's content analysis

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