Amazon Interview Questions

Amazon Coding & Algorithms Interview Questions

Practice 689 real Amazon interview questions for 2026. Covers all top categories — Coding & Algorithms, Behavioral & Leadership, Machine Learning, Data Manipulation (SQL/Python), and System Design — across Software Engineer, Data Scientist, Machine Learning Engineer, Product Manager, and Business Intelligence Engineer roles. Real Amazon interview questions from actual interviews with detailed solutions; use this collection for interview preparation that emphasizes shipping at scale, measurable impact, and the company’s Leadership Principles. Expect coding-heavy assessments for Software Engineer candidates: frequent tree and dynamic-programming problems, two-array optimization patterns, nested object/path lookups, and system-design prompts that mirror product flows (online Minesweeper, pizza-ordering, credit-card and shipping/cost systems), plus leadership and collaboration behavioral prompts. Data Scientist rounds concentrate on experimentation and metrics (A/B design, hand p-values, D7 retention SQL), RAG/recommender evaluation, and product-impact analyses. ML Engineer questions focus on production model design, LLM/agent concepts, reliability (cold start, training stability, online vs offline gaps), and large-scale detection pipelines. PM interviews stress customer-obsessed stories, ambiguity, Alexa product launches, and domain-specific data pipelines. Prepare with timed coding practice, end-to-end experiment writeups, STAR stories framed to Leadership Principles, and mock system-design sessions.

689 Questions 1 Company08.11.2026
Showing 20 results
Role
Amazon logo
Amazon
Medium
Software Engineer Locked

Object-Oriented Design: Snake Game

This question evaluates a candidate's ability to translate a familiar game into a clean object-oriented model, covering class decomposition, encapsula...

System Design
9
0
145 people solved
Jun 19, 2026
Amazon logo
Amazon
Hard
Machine Learning Engineer Locked

GRPO Deep Dive: Critic-Free RL, Parallelism, MLA, and Reward Design for a Reasoning LLM

This question assesses understanding of reinforcement learning algorithms used to post-train large reasoning language models, including critic-free po...

Machine Learning
9
0
101 people solved
Jun 21, 2026
Amazon logo
Amazon
Easy
Software Engineer

Find the Single Value in a Sorted Array of Pairs

Find the Single Value in a Sorted Array of Pairs Problem Implement singleNonDuplicate(values) -> value. values is sorted in nondecreasing order. Exact...

Coding & Algorithms
1
0
16 people solved
Jun 22, 2026
Amazon logo
Amazon
Hard
Software Engineer Locked

Design a Library Management System (API and Schema)

This question tests practical system design skills by requiring candidates to model a relational data schema and REST API for a library lending system...

System Design
24
0
199 people solved
Jun 14, 2026
Amazon logo
Amazon
Medium
Software Engineer Locked

High Availability and Failover for a Primary-Replica Database

This question evaluates a candidate's understanding of database high-availability design, including replication semantics, failure detection, and fail...

System Design
12
0
92 people solved
Jun 19, 2026
Amazon logo
Amazon
Medium
Machine Learning Engineer Locked

LLM Fundamentals: Tokenization Design and KL-Regularized SFT

This question evaluates depth of knowledge in large language model fundamentals, specifically subword tokenization design and KL-regularized supervise...

Machine Learning
11
0
152 people solved
Jun 18, 2026
Amazon logo
Amazon
Medium
Software Engineer

Answer Behavioral Questions About Deadlines, Feedback, and Ambiguity

Prepare behavioral answers about tight deadlines, critical feedback, ambiguous requirements, and AI-related work experience. `hint Hint 1 Start by sta...

Behavioral & Leadership
10
0
157 people solved
Jul 1, 2026
Amazon logo
Amazon
Medium
Software EngineerNew Grad

Design an In-Memory Pub-Sub Model

Design an object-oriented, in-memory publish-subscribe model. Requirements: - A publisher can publish a message to a topic. - A subscriber can subscri...

Software Engineering Fundamentals
14
0
258 people solved
Apr 10, 2026
Amazon logo
Amazon
Medium
Software Engineer Locked

Design a Perishable-Goods Inventory and Location Tracking System

This system design question evaluates the ability to architect a location-tracking and inventory service for perishable goods across a distributed ret...

System Design
5
0
64 people solved
Jun 13, 2026
Amazon logo
Amazon
Medium
Software EngineerIntern Locked

Design Human Avoidance for Warehouse Robots

This question evaluates sensor fusion, perception-to-motion data flow, short-horizon motion planning, and real-time safety-critical decision-making fo...

System Design
26
0
370 people solved
May 11, 2026
Amazon logo
Amazon
Medium
Frontend Engineer

Navigate a Tight Deadline and an Ambiguous Engineering Project

Navigate a Tight Deadline and an Ambiguous Engineering Project Prepare two examples from your engineering experience: one in which you worked under a ...

Behavioral & Leadership
1
0
20 people solved
Jul 7, 2026
Amazon logo
Amazon
Medium
Software EngineerSenior+ Locked

Design Music Search, Playlists, and Playback Controls

Design the domain model and service interfaces for music search, ordered playlists, and playback controls. The discussion covers canonical catalog dat...

System Design
3
0
29 people solved
May 29, 2026
Amazon logo
Amazon
Medium
Software EngineerSenior+ Locked

Rate Engineering Work Simulation Responses

This question evaluates situational judgment and behavioral leadership competencies in a software engineering context, focusing on ownership, communic...

Behavioral & Leadership
25
0
185 people solved
Jun 2, 2026
Amazon logo
Amazon
Medium
Software Engineer Locked

Behavioral: Learn and Be Curious

This behavioral question evaluates a software engineer's capacity for self-directed learning and intellectual curiosity under real project constraints...

Behavioral & Leadership
21
0
297 people solved
Jun 13, 2026
Amazon logo
Amazon
Medium
Software EngineerNew Grad

Compute Edit Distance

Compute Edit Distance Given two strings, return the minimum number of single-character operations needed to transform the first string into the second...

Coding & Algorithms
41
1
345 people solved
Jul 15, 2026
Amazon logo
Amazon
Medium
Software Engineer Locked

Design a Log Collection System

This question evaluates a candidate's ability to design a scalable, fault-tolerant log collection and search pipeline, covering distributed ingestion ...

System Design
29
0
372 people solved
May 22, 2026
Amazon logo
Amazon
Medium
Software EngineerIntern Locked

Validate AI-Generated Code Safely

This question evaluates experience with generative AI tools and the competency in validating AI-generated code for correctness, maintainability, and s...

Software Engineering Fundamentals
111
1
936 people solved
May 11, 2026
Amazon logo
Amazon
Medium
Software EngineerIntern

Describe Deadline, Mistake, Problem-Solving, and AI Experiences

You are interviewing for a Software Engineer (Intern) role at Amazon, in an on-site loop of two back-to-back 60-minute rounds. Each round mixes a beha...

Behavioral & Leadership
27
0
440 people solved
Apr 20, 2026
Amazon logo
Amazon
Medium
Machine Learning Engineer Locked

Design an advertiser metrics tracking platform

This question evaluates object-oriented design competencies such as domain modeling, class responsibilities and relationships, service interfaces, ext...

Software Engineering Fundamentals
24
0
165 people solved
May 30, 2026
Amazon logo
Amazon
Medium
Machine Learning Engineer Locked

Explain Transformer and MoE Fundamentals

This question evaluates a candidate's conceptual mastery of modern deep-learning internals for large-language models, including distinctions between t...

Machine Learning
28
0
212 people solved
May 14, 2026

Frequently Asked Questions

How difficult are Amazon interview questions for software, data, and product roles?
Amazon interviews are competitive and deliberately broad: expect medium-to-hard algorithmic coding for software roles, deep design thinking for system and architecture questions, rigorous experiment and metrics work for data roles, and leadership-driven behavioral prompts for product and PM positions. Difficulty scales with level; early-career loops focus on correctness and problem patterns, senior loops demand scalable design, tradeoff justification, and measurable impact. The Bar Raiser raises the bar on long-term ownership and cultural fit. Overall, the process weeds for both technical depth and the ability to explain tradeoffs, so prepare to demonstrate repeatable problem solving under time pressure.
What is the Amazon interview process and where do the top categories and positions appear in the loop?
Amazon typically uses a staged process: resume screen, role-specific assessments or phone screens in some tracks, then the onsite loop of 4–6 interviews including a Bar Raiser. Coding and algorithms rounds dominate for Software Engineer interviews, while system design appears in one or more senior technical rounds. Data Scientist interviews blend SQL/Python casework, A/B test design, and inferential questions. Machine Learning Engineer loops probe model deployment, offline to online debugging, and NLP/agent design. Product and BI roles focus on metrics, product tradeoffs, and Leadership Principles throughout the loop, with role-specific deep dives tied to the job description.
How long should I prepare for Amazon interviews and what should a timeline look like?
Aim for a focused 6–12 week plan for experienced roles and 4–8 weeks for early-career candidates. Weeks 1–3: shore up fundamentals — arrays, trees, graphs, DP, and core SQL windowing. Weeks 4–6: simulate timed coding rounds, practice system design high-level tradeoffs, and build STAR stories mapped to Leadership Principles. Weeks 7–10: run mock loops with behavioral pressure, refine experiment and ML case studies, and rehearse tradeoff conversations. Leave final 1–2 weeks for targeted practice on role-specific themes such as shipping costs, RAG evaluation, or Alexa product scenarios.
Which key subtopics should I master to perform well across Amazon's top roles?
Master algorithmic patterns including trees, dynamic programming, two-pointer and graph traversals, and complexity justification for coding rounds. For system design, focus on APIs, data models, scaling, caching, reliability, and monitoring. Data roles require SQL window functions, cohort and retention analysis, A/B test design and power, and RAG/evaluation methods for ML-backed features. Machine learning engineers must know model stability, cold-start strategies, online-offline mismatch debugging, and agent alignment basics. Product candidates should be fluent in metric design, customer-observed data pipelines, and prioritization with quantifiable impact.
What standout tips and common pitfalls should I know before interviewing at Amazon?
Start every behavioral or technical story with context and measurable outcomes; interviewers care about specific impact and tradeoffs. Use STAR for leadership prompts but emphasize metrics and follow-on changes. In coding, verbalize assumptions, test edge cases, and discuss complexity and alternative approaches. In design rounds, ask clarifying questions, scope deliberately, and justify scaling choices. Common pitfalls include weak quantification of impact, ignoring the Leadership Principles, failing to probe requirements, and delivering designs without operational considerations. Practice mock loops and incorporate Bar Raiser-style feedback to close gaps before the real loop.

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