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Amazon interview notes, page 55 of 159

FAANG / Big Tech

Most of these Amazon write-ups come from Software Engineers (1,092), then Data Scientists (182) and Product Managers (165). The most reported rounds are the technical phone screen (618), the behavioral / leadership round (309), the online assessment (228) and the system design round (159).

1581 interview notes · updated Oct 2026

Amazon·Software Engineer·Onsite - Coding / Algorithms

May 2026
Amazon SWE coding round with a string manipulation problem that's trickier than it looks. The hint pointing to LC 664 is actually useful if you've seen it before, but I hadn't.
  • Given a string, find the minimum number of deletion operations to make it empty, where each operation deletes a consecutive group of identical characters.

“Took me a while to even parse what the operation was doing.”

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Amazon·Software Engineer·Technical Phone Screen

May 2026
Amazon coding round for a software engineer role. One algorithmic problem, greedy/DP flavor, not too bad once you see the pattern but I fumbled around for a bit before it clicked.
  • You have n cities in a line, each with a population value. A binary string tells you which cities have a security unit. Each unit can optionally move one city to the left (except the unit at city 1). A city is protected if at least one unit ends up there. Maximize the total population of protected cities.

“Took me longer than I'd like to admit to stop thinking about this as a graph problem.”

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Amazon·Software Engineer·Online Assessment (OA)

May 2026
Amazon SWE coding round with a greedy string construction problem. Pretty standard algorithmic question but the constraint about always picking the highest-count character tripped me up at first.
  • Given integer counts for characters 'a', 'b', and 'c', construct the longest possible string using those characters such that no three consecutive characters are the same.

“My first instinct was to just alternate characters evenly and call it a day.”

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Amazon·Data Scientist·Technical Phone Screen

May 2026
Second-round interview for a Data Scientist role at Amazon that centered on a live data visualization critique. They put a customer-conversion chart in front of me and basically said, go.
  • You're shown a customer-conversion chart. What problems do you see with it, and how would you redesign or improve it? Walk through the tradeoffs of your proposed changes.

“I jumped straight to chart type and forgot to say anything about the axes for an embarrassingly long time.”

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Amazon·Software Engineer·Technical Phone Screen

May 2026
Amazon SWE interview that went deep on a classic string segmentation problem. They didn't just want a working solution, they kept pushing on tradeoffs and edge cases until I ran out of clever things to say.
  • Given a string and a dictionary of words, can the string be broken into a valid sequence of dictionary words? Walk through a dynamic programming solution.
  • How would you redesign the solution using a Trie to speed up prefix lookups and allow early termination on long inputs?
  • What are the time and space complexity tradeoffs between the basic DP approach and the Trie-based approach?
  • How would you modify the solution to return one valid segmentation, or all possible segmentations?

“I jumped straight to the DP table without talking through examples first, which I think annoyed the interviewer a bit.”

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Amazon·Software Engineer·Onsite - Behavioral / Leadership

May 2026
Behavioral round at Amazon for a software engineer role, pretty much one big question about going outside your lane and owning something you weren't supposed to.
  • Tell me about a time you took on work that was outside your defined responsibilities. Why did you step in, what did you actually do, how did you manage your own workload alongside it, and how did things turn out for the project, the other team, and you personally?

“This question has a lot of parts and I kind of forgot about the 'how did it affect you personally' piece until the interviewer nudged me.”

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Amazon·Software Engineer·Onsite - Behavioral / Leadership

May 2026
Behavioral round at Amazon for a software engineer role. Two questions, both leadership-flavored, pretty standard for Amazon but they push hard on specifics so you can't just coast on a vague story.
  • Describe a situation where you had to deliver something under a tight deadline. What trade-offs did you make, and how did it turn out?
  • What is the professional achievement you're most proud of, and what makes it stand out for you?

“This is the kind of question where you think you have a good story until you're halfway through telling it and realize the trade-offs part is actually the whole point.”

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Amazon·Data Scientist·Technical Phone Screen

May 2026
Amazon data scientist screen focused almost entirely on statistics and probability, specifically around disease testing scenarios. The questions were technical and required you to actually work through the math, not just name-drop concepts. Pretty rigorous for a phone screen.
  • Explain the Central Limit Theorem, what conditions need to hold for it to apply, and describe situations where it breaks down.
  • What is Bayesian inference and why do practitioners tend to prefer it in many modeling contexts?
  • A disease occurs in 1 out of 1000 people. A test correctly identifies positive cases 95% of the time and correctly identifies negative cases 98% of the time. If a person tests positive, what is the actual probability they have the disease? Walk through your reasoning.

“I knew the textbook definition but stumbled when they pushed on when it fails.”

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Amazon·Software Engineer·Onsite - Coding / Algorithms

May 2026
Amazon SWE coding round, pretty standard dynamic programming territory. One question, classic subarray problem, nothing too surprising but easy to fumble if you haven't drilled the approach recently.
  • Given an integer array, find the contiguous subarray with the largest sum and return that sum.

“Kadane's algorithm is the move here and I knew it, but I second-guessed myself for a solid two minutes staring at the negative numbers.”

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Amazon·Software Engineer·Recruiter / HR Screen

May 2026
Amazon intern screen for a software engineering role, basically one question about motivation and fit wrapped in leadership principles language.
  • Why do you want to work at Amazon, and what draws you to this specific intern program in particular?

“You really have to connect three things here: the leadership principles, whatever the team is actually working on, and something real from your own background.”

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