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Amazon interview notes, page 6 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 - Multi Round

Apr 2026
Did Amazon, Meta, and Microsoft internship interviews this year and Amazon was by far the most brutal despite its reputation for being the easiest. Three 60-minute rounds with LP deep dives and two LC hard problems threw me off completely.
  • Solve a graph problem involving topological sort (LC hard difficulty).
  • Solve a dynamic programming problem (LC medium difficulty).
  • Deep dive behavioral questions tied to Amazon's leadership principles, across all three interview rounds.

“Two of the three technical rounds had hard-level problems and this was one of them.”

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Amazon·Software Engineer·Onsite - Product Sense / Strategy

Apr 2026
Amazon product design question for what sounds like an Alexa-related role. Just one scenario-based question but it had a lot of surface area to cover.
  • Design an emergency services feature for Alexa that handles a home break-in scenario.

“I went straight into user flows and almost forgot to set up the problem space first.”

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Amazon·Product Manager·Onsite - Behavioral / Leadership

Apr 2026
Amazon PM interview with a behavioral question tied to their leadership principles. Pretty standard stuff but it still requires some prep to not fumble it.
  • Walk me through your greatest professional success.

“These leadership principle questions at Amazon sound easy until you're actually in the seat.”

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Amazon·Software Engineer·Technical Phone Screen

Apr 2026
Amazon coding round for a software engineer role. One algorithmic problem, median manipulation with a fixed operation budget. The greedy angle wasn't immediately obvious to me and I spent a bit too long going down the wrong path before things clicked.
  • You have an integer array and a budget of k operations. Each operation increments one element by 1 and decrements another by 1, keeping the total sum constant. What is the maximum median you can achieve after exactly k operations?

“My first instinct was to just greedily pump up the middle element and call it a day, which is sort of right but not rigorous enough.”

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Amazon·Data Analyst·Technical Phone Screen

Apr 2026
Amazon SQL question, just one: find revenue broken out by department. Short and to the point.
  • Write a SQL query to find total revenue for each department.

“Pretty standard aggregation question.”

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Amazon·Machine Learning Engineer·Technical Phone Screen

Apr 2026
Amazon ML engineer screen, just one technical question about logistic regression. Pretty short exchange from what I can tell.
  • What is logistic regression, and why do we use the log transformation in it?

“The second part is where people slip up.”

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Amazon·Software Engineer·Technical Phone Screen

Apr 2026
Amazon coding question, just the one problem about finding a maximum positive sequence in an array. Short and to the point.
  • Given an array of integers, find and print the maximum positive contiguous sequence.

“Classic subarray problem but I second-guessed myself on the edge cases, like what happens when all elements are negative.”

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Amazon·Software Engineer·Onsite - System Design / Architecture

Apr 2026
Amazon SWE interview with a product design question about building a performance tracking app for cyclists. Pretty open-ended, which I wasn't fully prepared for.
  • Design a performance tracking application for cyclists.

“I jumped straight into data models and GPS tracking without stopping to clarify who the users actually are.”

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Amazon·Software Engineer·Onsite - System Design / Architecture

Apr 2026
Amazon solutions architect interview, system design focus. The main question was a big distributed systems problem and it went about as well as you'd expect when you're winging the capacity math on the spot.
  • How would you design a large-scale ticketing system capable of handling millions of concurrent users during peak demand events like major sales or high-traffic launches?

“Jumped straight to the queue layer because that felt safe, but I underestimated how much they wanted to hear about the seat reservation problem specifically.”

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Amazon·Product Manager·Onsite - Product Sense / Strategy

Apr 2026
Amazon product interview, one question about launching a services marketplace. Pretty open-ended, which I didn't fully appreciate until I was already mid-answer and realized I'd skipped half the important stuff.
  • You're about to launch a services marketplace for Amazon users. How would you approach it?

“Started with user segmentation and immediately got lost in the weeds on supply vs demand dynamics.”

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