Amazon Interview Questions

Amazon Interview Questions

Practice 683 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.

683 Questions 1 Company08.01.2026
Showing 20 results
Role
Amazon logo
Amazon
Easy
Software Engineer

Design a Concurrent Restaurant Waitlist and Seating System

Design a Concurrent Restaurant Waitlist and Seating System Design a restaurant system with a configurable set of tables and a FIFO waitlist of parties...

Software Engineering Fundamentals
114
0
1010 people solved
Jul 7, 2026
Amazon logo
Amazon
Medium
Software Engineer AI

Debug Watch List Movie Operations

You are given a full-stack Movie DB application. Users can log in, create, update, and delete watch lists, and add or remove movies from a watch list....

Software Engineering Fundamentals
719
3
7536 people solved
Jun 12, 2026
Amazon logo
Amazon
Medium
Software EngineerSenior+

Find Paths Across a Weighted Binary Grid

Find Paths Across a Weighted Binary Grid Given an m by n binary grid, a cell with value 1 is traversable and 0 is blocked. Movement is allowed up, dow...

Coding & Algorithms
9
0
145 people solved
Jul 17, 2026
Amazon logo
Amazon
Medium
Software EngineerNew Grad

Recover from a Missed Deadline

Recover from a Missed Deadline Prompt Tell me about a deadline you missed or were on course to miss. Explain how the commitment was made, when you rec...

Behavioral & Leadership
12
0
199 people solved
Jul 15, 2026
Amazon logo
Amazon
Hard
Software Engineer

Minimize Replacements So Equal Product Values Are Contiguous

Minimize Replacements So Equal Product Values Are Contiguous You are given the quality value of each product in a line. In one operation, choose two d...

Coding & Algorithms
13
1
156 people solved
Jul 12, 2026
Amazon logo
Amazon
Medium
Software EngineerSenior+

Schedule Priority Jobs with Cooldowns

Schedule Priority Jobs with Cooldowns Implement a scheduler for recurring jobs: `text addJob(job_id, priority, cooldown) -> bool getJob() -> job_id or...

Coding & Algorithms
10
0
73 people solved
Jul 17, 2026
Amazon logo
Amazon
Easy
Software Engineer

Design an Amazon Locker Service

Design a Single-Station Package Locker Design the classes and core workflows for one self-service package-locker station. A delivery driver deposits a...

System Design
16
0
211 people solved
Jul 4, 2026
Amazon logo
Amazon
Medium
Software EngineerNew Grad

Organize a Product Initiative Across Stakeholders

Organize a Product Initiative Across Stakeholders Prompt Tell me about a time you brought structure to a product or project initiative that involved s...

Behavioral & Leadership
9
0
116 people solved
Jul 15, 2026
Amazon logo
Amazon
Medium
Software EngineerSenior+

Design a Personalized Weekly Deals Service

Design a Personalized Weekly Deals Service Design a service that ingests deals weekly from several pipelines. Each deal has a start and end time and c...

System Design
2
0
53 people solved
Jul 17, 2026
Amazon logo
Amazon
Hard
Software EngineerSenior+

Use a Fitted Line to Predict a Future Data Point

Use a Fitted Line to Predict a Future Data Point You receive observed points (x_i, y_i) and need to predict y for a future input x_future. Assume a pr...

Machine Learning
7
0
71 people solved
Jul 21, 2026
Amazon logo
Amazon
Medium
Software EngineerSenior+

Implement Multi-Player Tic-Tac-Toe

Implement Multi-Player Tic-Tac-Toe Implement a game class for an N by N board and K players. Each player has a distinct one-character printable mark. ...

Coding & Algorithms
4
0
47 people solved
Jul 17, 2026
Amazon logo
Amazon
Hard
Software EngineerSenior+

Explain BIOS and UEFI Firmware Mechanisms

Explain BIOS and UEFI Firmware Mechanisms Answer the following firmware and low-level systems questions. State assumptions about architecture and firm...

Software Engineering Fundamentals
3
0
42 people solved
Jul 15, 2026
Amazon logo
Amazon
Medium
Software EngineerNew Grad

Stand by a Disputed Technical Judgment

Stand by a Disputed Technical Judgment Prompt Describe a situation in which others believed your technical judgment was wrong, but you continued to ad...

Behavioral & Leadership
5
0
76 people solved
Jul 15, 2026
Amazon logo
Amazon
Easy
Software EngineerIntern

Discuss Feedback, User Needs, Influence, Deadlines, and Learning

Discuss Feedback, User Needs, Influence, Deadlines, and Learning Answer the following behavioral questions with distinct examples where possible. Make...

Behavioral & Leadership
1
0
14 people solved
Aug 1, 2026
Amazon logo
Amazon
Medium
Software EngineerSenior+

Discuss Challenges, Difficult Colleagues, and Multitasking

Discuss Challenges, Difficult Colleagues, and Multitasking Prepare responses to three behavioral questions. Use real examples, keep context concise, a...

Behavioral & Leadership
4
0
33 people solved
Jul 17, 2026
Amazon logo
Amazon
Medium
Software EngineerSenior+

Design a Scalable Metrics Monitoring System

Design a Scalable Metrics Monitoring System Design a service that accepts application and infrastructure metrics, stores them over time, supports dash...

System Design
1
0
23 people solved
Jul 23, 2026
Amazon logo
Amazon
Medium
Software Engineer

Design a File Searcher With Symbolic Links

Design an in-memory file-system searcher. The file-system graph contains directories, regular files, and symbolic links. A query selects regular files...

Software Engineering Fundamentals
4
0
45 people solved
Jul 10, 2026
Amazon logo
Amazon
Medium
Software EngineerSenior+

Design a Threshold-Based Database Partition Rebalancer

Design a Threshold-Based Database Partition Rebalancer You are given database partitions and a size threshold. Oversized partitions should be split in...

Software Engineering Fundamentals
2
0
18 people solved
Jul 23, 2026
Amazon logo
Amazon
Easy
Software EngineerIntern

Find the Lowest Common Ancestor in a Binary Tree

Find the Lowest Common Ancestor in a Binary Tree Problem Implement lowestCommonAncestor(left, right, root, first, second) -> nodeId. The binary tree h...

Coding & Algorithms
1
0
9 people solved
Aug 1, 2026
Amazon logo
Amazon
Easy
Software EngineerIntern

Compute the Minimum Number of Meeting Rooms

Compute the Minimum Number of Meeting Rooms Problem Implement minimumMeetingRooms(intervals) -> roomCount. Each meeting is a half-open interval [start...

Coding & Algorithms
0
0
9 people solved
Aug 1, 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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