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Amazon interview notes, page 3 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)

Apr 2026
Amazon OA for a software engineering role, basically a scenario-based system design quiz where you pick the right tool and explain why. No coding, just judgment calls and trade-off reasoning.
  • Given a set of different system scenarios, choose the most appropriate infrastructure or tool (for example: SQL vs. NoSQL, message queue vs. pub/sub, which cache strategy, batch vs. stream processing) and justify your choice with trade-offs around consistency, latency, throughput, cost, and operational complexity.

“The format threw me a bit.”

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Amazon·Software Engineer·Onsite - Behavioral / Leadership

Apr 2026
Behavioral round at Amazon for a software engineer role, basically one question that took up most of the time. Pretty standard leadership principles territory but I underestimated how much they'd dig into the details.
  • Tell me about a time you took on work that was outside your defined role or responsibilities. Why did you step in, how did you handle your existing workload, and what came of it?

“I had a decent story but fumbled the middle part about managing my regular work.”

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Amazon·Software Engineer·Onsite - Behavioral / Leadership

Apr 2026
Interviewed for a security role at Amazon, and it was pretty much what you'd expect: behavioral questions tied to their leadership principles.
  • Tell me about a time you went above and beyond what was expected of you.

“Classic Amazon behavioral question.”

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Amazon·Software Engineer·Technical Phone Screen

Apr 2026
Amazon SWE interview with a warehouse inventory management problem that looked straightforward until the checkpoint constraints made it genuinely tricky. One question, but it had enough moving parts to keep me busy.
  • You're managing warehouse inventory over n days. Each day has a delta value that changes the inventory level. The inventory can never exceed a maximum capacity, and on any day where the delta is zero (a checkpoint day), the inventory must be non-negative. You can trigger an emergency restock on any day to bring inventory back to a valid state. What's the minimum number of restock days needed?

“The part that tripped me up was figuring out when exactly to trigger a restock.”

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Amazon·Product Manager·Onsite - Product Sense / Strategy

Apr 2026
Amazon PM interview with a scenario-based question about the Echo product line. One question, but it had some real teeth to it.
  • You're the PM for Amazon Echo with a launch planned in one month. Your engineering manager just told you the timeline needs to slip by five to six months. Walk through what you'd do.

“This one tripped me up more than I expected.”

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Amazon·Software Engineer·Onsite - System Design / Architecture

Apr 2026
Amazon system design round for a software engineering role. The question was a beast, one of those multi-layered platform problems where you're not just designing a system but also arguing for organizational guardrails. Left feeling like I only scratched the surface.
  • Design a multi-tenant data ingestion and processing platform that serves thousands of internal teams, each with different schemas and SLA requirements. The design must address tenant isolation, noisy neighbor problems, control plane vs data plane separation, cost efficiency, and long-term maintainability.

“This question has so many layers that I made the mistake of trying to address all of them upfront instead of picking a thread and pulling it.”

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Amazon·Software Engineer·Technical Phone Screen

Apr 2026
Amazon coding interview with one algorithmic problem around matrix prefix sums. Pretty focused session, no behavioral fluff, just straight into the problem.
  • Given a 2D matrix, compute the sum of any sub-matrix in O(1) time after preprocessing.

“I knew prefix sums for 1D arrays but extending it to 2D took me a minute to work through.”

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Amazon·Machine Learning Engineer·Technical Phone Screen

Apr 2026
Had a technical phone screen for an ML Engineer role at Amazon. Just one question but it cut straight to the fundamentals, no warmup.
  • What is the difference between inference and training in machine learning?

“Seemed basic at first and I almost relaxed too much.”

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Amazon·Technical Program Manager·Onsite - System Design / Architecture

Apr 2026
Amazon TPM loop, system design focus. One question about recommendation systems that sounds straightforward until you're actually in the room trying to scope it without spiraling into a 45-minute architecture monologue.
  • How would you design a recommendation system for an e-commerce platform?

“I went straight to collaborative filtering and probably spent too long there before they nudged me toward the product side of things.”

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Amazon·Software Engineer·Technical Phone Screen

Apr 2026
Amazon coding screen for a software engineer role. The main problem was a weighted random sampler with generics, which sounds straightforward until you get to the follow-up about expiring entries.
  • Design a generic weighted random generator class that supports adding values with associated weights and sampling from them with probability proportional to their weight. Implement an add method and a sampling method.
  • Extend the weighted random generator to support entries that expire after a given duration in milliseconds, via an addWithExpiry method.

“The probability math is simple enough: track cumulative weights, pick a random number in range, binary search or linear scan to find the bucket.”

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