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nebius·Software Engineer·Technical Phone Screen·Intermediate

Intermediate
Apr 2026

Summary

Nebius software engineer interview with a sliding window coding problem. Pretty standard algorithmic round, nothing too wild, but the problem had a subtle contraction step that I almost fumbled.

Questions Asked (1)

Q1

Given a string, find the length of the shortest substring that contains every distinct character present in the string.

Algorithms & Data Structures
Author's notes

I recognized the sliding window pattern pretty quickly, which helped.

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AI HintsAI Generated

Suggested Approach

First, clarify the problem and edge cases, then propose an efficient sliding window approach that expands and contracts to find the shortest substring containing all distinct characters. Explain the algorithm step-by-step, analyze its time and space complexity, and optionally discuss alternative approaches.

Pro tip: Demonstrate strong problem-solving by discussing trade-offs between approaches and mentioning how you would test the solution with edge cases like empty strings or strings with all unique characters.

1. Clarify the problem

Ask clarifying questions to ensure you understand the requirements, such as whether the substring must be contiguous, what to return if no such substring exists, and the expected input size.

2. Identify distinct characters

Determine the set of distinct characters in the string, as the substring must contain all of them. This can be done by scanning the string once.

3. Apply sliding window

Use two pointers to maintain a window that contains all distinct characters. Expand the right pointer to include characters, and once all are included, contract the left pointer to minimize the window length.

4. Track minimum length

Keep track of the minimum window length found during the process, updating it whenever a valid window is found and contracted.

5. Analyze complexity

Explain that the time complexity is O(n) since each character is visited at most twice, and space complexity is O(k) where k is the number of distinct characters.

Key Points to Mention

  • Sliding window technique for efficient substring search
  • Time complexity O(n) and space complexity O(k)
  • Handling edge cases: empty string, all characters distinct, etc.
  • Use of hash map or array to count character frequencies
  • Two-pointer approach to expand and contract the window
  • Comparison with brute-force approach to highlight efficiency

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