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Amazon·Software Engineer·Onsite - Coding / Algorithms·Intermediate

Intermediate
Apr 2026

Summary

Amazon SWE coding round, one algorithmic question the whole time. The problem had a specific structural constraint that made the brute force obvious but useless, so you had to actually think.

Questions Asked (1)

Q1

Given an integer array, find the length of the longest contiguous subarray where the first and last elements are both strictly greater than every element in between. A brute-force O(n²) or worse solution is not acceptable.

Algorithms & Data Structures
Author's notes

The brute force writes itself in like two minutes, which is exactly why it's a trap you can't fall into.

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AI HintsAI Generated

Suggested Approach

Clarify the problem definition and edge cases, then propose an O(n) solution using a monotonic stack to find the nearest greater elements to the left and right for each element. Explain how to use these boundaries to compute the longest valid subarray where the endpoints are strictly greater than all interior elements.

Pro tip: Emphasize that the endpoints must be strictly greater than every element in between, so the subarray length is determined by the distance between the nearest greater elements on both sides. Mention that handling duplicates correctly is crucial and can be done by using strict comparisons in the stack.

1. Clarify the problem and edge cases

Restate the problem to ensure understanding: find the maximum length of a contiguous subarray where the first and last elements are both strictly greater than all elements in between. Discuss edge cases such as arrays of length 0, 1, 2, and arrays with all equal elements.

2. Identify the key observation

Note that for any valid subarray, the endpoints are the nearest greater elements to each other within that subarray. Thus, the problem reduces to finding, for each element, the nearest greater element to its left and right, and then computing the maximum distance between such pairs.

3. Design an O(n) algorithm using monotonic stack

Use a monotonic decreasing stack to find the nearest greater element to the left for each index, and similarly to the right. Then, for each element, consider it as the left endpoint and find the farthest right endpoint that is greater than all elements in between, which is essentially the nearest greater element to the right that is also greater than the left endpoint.

4. Compute the maximum length

Iterate through the array and for each index i, if there is a nearest greater element to the right at index j, and all elements between i and j are less than both arr[i] and arr[j], then the length j-i+1 is a candidate. However, to ensure the condition, we need to check that the maximum element between i and j is less than min(arr[i], arr[j]). This can be done by precomputing range maximum queries or by using the stack to directly find valid pairs.

5. Analyze time and space complexity

The monotonic stack approach runs in O(n) time and O(n) space. Explain that this meets the requirement of avoiding O(n²) solutions.

Key Points to Mention

  • Monotonic stack for nearest greater element
  • Strict inequality condition for endpoints
  • Handling duplicates correctly
  • Time complexity O(n) and space complexity O(n)
  • Edge cases: empty array, single element, all equal elements
  • Proof of correctness: why the nearest greater elements define the longest valid subarray

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