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Amazon·Software Engineer·Technical Phone Screen·Intermediate

IntermediatePrefer not to say
Jun 2026

Summary

Amazon SWE coding round, pretty standard stuff. Got a classic dynamic programming/greedy problem and had to work through it under pressure.

Questions Asked (1)

Q1

Given an array of daily stock prices, find the maximum profit from a single buy and sell transaction. If no profit is possible, return 0.

Algorithms & Data Structures
Author's notes

Classic problem but I still fumbled the first few minutes trying to think of a two-pointer approach before remembering you just track the minimum price seen so far and update max profit on each step.

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AI HintsAI Generated

Suggested Approach

Start by clarifying the problem constraints (e.g., single transaction, array size, price types) and then propose a one-pass solution that tracks the minimum price seen so far and the maximum profit. Explain the O(n) time and O(1) space complexity, and walk through a small example to demonstrate correctness.

Pro tip: Mention that you would handle edge cases like empty array or decreasing prices by returning 0, and that you would discuss potential follow-ups (e.g., multiple transactions) to show depth.

1. Clarify the problem

Ask about input constraints (array size, price range, whether prices are integers), and confirm that only one buy and one sell are allowed, with buy before sell.

2. Outline the approach

Explain that you will iterate through the array once, keeping track of the minimum price seen so far and the maximum profit achievable.

3. Walk through an example

Use a small array like [7,1,5,3,6,4] to show how the algorithm updates min price and max profit step by step.

4. Analyze complexity

State that the time complexity is O(n) and space complexity is O(1), which is optimal for this problem.

5. Handle edge cases

Mention that if the array is empty or prices are strictly decreasing, the algorithm returns 0, ensuring no negative profit.

Key Points to Mention

  • One-pass algorithm with O(n) time and O(1) space
  • Tracking minimum price and maximum profit
  • Buy must occur before sell
  • Return 0 if no profit possible
  • Edge cases: empty array, single element, decreasing prices
  • Potential follow-up: multiple transactions (if asked)

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