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Amazon interview notes, page 78 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·Online Assessment (OA)

May 2026
Amazon SWE online assessment, the non-coding portion. Two back-to-back automated sections: a situational judgment simulation and a forced-choice personality survey. No humans involved, just you and a browser tab trying not to accidentally flip the rating scale.
  • Work Simulation: A senior engineer leaves code review feedback suggesting a more complex approach that adds long-term value. How do you rate the effectiveness of various responses, such as offering to meet and discuss versus telling them to make the changes themselves?
  • Work Style: For each pair of statements, choose which is more like you. Example pair: 'I look for work where I can build new skills' versus 'I will learn new things when I know I will apply them right away.'

“The 'just go ahead and make the changes yourself' option feels polite on the surface but it's basically the worst answer.”

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Amazon·Software Engineer·Onsite - System Design / Architecture

May 2026
Amazon solutions architect interview with a database design question. Pretty open-ended, which I wasn't fully prepared for.
  • Design a database schema for a pizza ordering system.

“Spent the first few minutes just listing entities out loud: customers, orders, pizzas, toppings, delivery addresses.”

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Amazon·Data Scientist·Technical Phone Screen

May 2026
Amazon data scientist interview that went pretty deep into statistics fundamentals. Three parts covering t vs z tests, multiple testing corrections, and error types with asymptotics. More math-heavy than I expected for a DS role.
  • You have a sample of 15 observations from a population with unknown variance (sample mean 10.4, sample SD 2.1). Should you use a t-test or z-test to test whether the true mean equals 9.5, and why?
  • Using the same sample (n=15, mean=10.4, SD=2.1), compute the test statistic and p-value for the two-sided test, then build a 95% confidence interval for the mean and interpret it.
  • If you run 20 independent hypothesis tests each at alpha = 0.05 without any correction, what is the expected number of false positives and what is the family-wise error rate?
  • Apply the Bonferroni correction to control family-wise error rate at 0.05 across those 20 tests. What is the adjusted per-test alpha?
  • In a one-way ANOVA with 4 groups, when would you prefer Tukey's HSD over Bonferroni for post-hoc pairwise comparisons, and what error rate does each control?
  • Define Type I and Type II errors and give a concrete real-world example of each.
  • Explain the difference between the Central Limit Theorem and the Law of Large Numbers. Then describe a scenario involving heavy-tailed distributions where CLT convergence is slow and explain how that affects statistical inference.

“Pretty foundational but I second-guessed myself for a second because the numbers felt like they were designed to trick you.”

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Amazon·Software Engineer·Onsite - Multi Round

May 2026
Recent grad in the Seattle area prepping for a virtual Amazon SDE interview across four rounds. Wasn't totally sure what the role actually entailed, given the satellite internet team context, and was second-guessing whether the prep focus on algorithms, leadership principles, and system design was even the right call.
  • How familiar are you with cloud infrastructure and network protocols?

“This came as a pre-interview questionnaire, which I wasn't expecting.”

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Amazon·Software Engineer·Onsite - Behavioral / Leadership

May 2026
One round of behavioral questions for a Software Engineer role at Amazon. Pretty standard leadership principle territory, nothing technical.
  • Tell me about a time you had a conflict with your manager.
  • Describe a situation where you faced significant pushback on something you believed in.

“I had a decent story ready but I fumbled the ending a bit.”

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Amazon·Software Engineer·Technical Phone Screen

May 2026
Amazon data engineer screen, basically just one question about PySpark. Not much to report.
  • What is PySpark?

“Pretty surface-level definition question.”

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Amazon·Software Engineer·Onsite - Behavioral / Leadership

May 2026
Interviewed for an EM role at Amazon, came across a classic leadership principle question about impact beyond your immediate team. Pretty standard behavioral round, nothing too surprising.
  • Tell me about a time you did something that had a positive impact beyond just your own project, benefiting the broader company.

“I had a decent story ready but fumbled the company-level angle.”

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Amazon·Product Manager·Onsite - Behavioral / Leadership

May 2026
Amazon PM behavioral round, pretty much what you'd expect. One question, standard leadership principles territory.
  • Describe a time when you gave feedback to a peer that actually helped them.

“I had a decent story for this but I think I spent too long on the setup and ran out of time to land the impact clearly.”

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Amazon·Software Engineer·Onsite - Behavioral / Leadership

May 2026
Amazon behavioral screen, one question about challenging the status quo. Pretty standard leadership principles territory.
  • Tell me about a time you were unhappy with how things were being done and decided to push for a change.

“Classic Amazon LP question.”

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Amazon·Software Engineer·Onsite - Behavioral / Leadership

May 2026
Amazon behavioral round for a software engineering role, three questions all focused on leadership principles. Pretty standard stuff but they want real stories with numbers, not vague answers.
  • Tell me about a time you faced a very tight or suddenly changed deadline. What did you do to actually deliver?
  • What's an accomplishment you're most proud of, and what specifically was your contribution to it?
  • Describe a situation where you helped teammates work through a disagreement or conflict. How did you handle it?

“I had a decent story for this but I kept second-guessing whether to lead with the context or the outcome.”

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