Amazon Software Engineer Interview Questions (2026)
5 min read·17 practice questions•Updated Feb 25, 2026
Eager to build and innovate at a company driven by customer obsession and operational excellence? The Software Engineer interview at Amazon emphasizes their 16 Leadership Principles and data-driven decision making. This guide will help you master behavioral examples, technical assessments, and Amazon's unique working backwards methodology.
Sample Amazon Software Engineer Interview Questions
Practice with these carefully curated questions for the Software Engineer role at Amazon
Cultural Fit Questions
1 questionCompany culture and value alignment questions
- How do you embody Amazon's Leadership Principle of 'Customer Obsession' in your software engineering work?
Behavioral Questions
4 questionsPast experience and situation-based questions using the STAR method
- Tell me about a time you had to dive deep to solve a complex technical problem
- Describe a situation where you had to disagree and commit on a technical decision
- Walk me through a time when you had to deliver results under significant pressure or tight deadlines
- Tell me about a time you took on something significant outside your area of responsibility
Product Questions
2 questionsProduct strategy, metrics, and feature development questions
- Design Amazon's inventory management system
- How would you design Amazon's search autocomplete feature?
Technical Questions
5 questionsTechnical knowledge and problem-solving questions
- Find the median from a data stream (Amazon interview classic)
- Implement LRU cache with O(1) operations
- Implement binary tree traversal algorithms
- Implement a thread-safe producer-consumer pattern
- Implement a distributed rate limiter
System Design Questions
3 questionsLarge-scale system architecture and technical design questions
- Design Amazon's product recommendation system
- How would you design Amazon Prime Video's video streaming service?
- Design a monitoring and alerting system for AWS services
Case Study Questions
2 questionsBusiness case analysis and strategic thinking questions
- Debug a memory leak in a high-traffic production service
- How would you optimize Amazon's checkout process for mobile users?
Want to practise your Amazon answers out loud?
Start a mock interviewPreparation Tips for Amazon Software Engineer Interviews
Master Amazon's 16 Leadership Principles with specific examples
Practice coding in Java, Python, or C++ with optimal solutions
Study distributed systems and AWS service architectures
Prepare for behavioral questions using STAR method
Focus on scalability, efficiency, and customer obsession
Practice system design for e-commerce and cloud platforms
Understand trade-offs between different algorithms and data structures
Frequently Asked Questions - Amazon Software Engineer
Amazon's SWE interview includes: 1) Phone screen with coding (45-60 min), 2) On-site loop with 4-5 interviews covering algorithms (2 rounds), system design (1 round), and behavioral questions focused on Leadership Principles (2 rounds). Each behavioral round tests 2-3 leadership principles with specific examples. Prepare 2-3 STAR stories for each of the 16 Leadership Principles, practice LeetCode medium/hard problems, and study distributed systems design.
Leadership Principles are critical - about 50% of your interview focuses on them. Key principles for SWEs: Customer Obsession, Ownership, Invent and Simplify, Learn and Be Curious, Insist on Highest Standards, Think Big, Bias for Action, Dive Deep, Have Backbone; Disagree and Commit, and Deliver Results. Prepare specific examples showing technical leadership, customer impact, and how you've embodied these principles in your engineering work.
Amazon focuses on: 1) Data structures and algorithms (trees, graphs, dynamic programming), 2) System design (design Amazon-scale systems like Prime Video, recommendation engine), 3) Object-oriented design, 4) Distributed systems concepts, and 5) AWS services knowledge (helpful but not required). Practice LeetCode problems, especially tree/graph traversals, and study large-scale system architecture patterns.
Amazon expects detailed technical depth: specific database choices (SQL vs NoSQL), caching strategies (Redis, ElastiCache), load balancing approaches, microservices architecture, and AWS services integration. Discuss scalability patterns, data consistency models, monitoring and alerting, and cost optimization. Always tie back to customer impact and business value while showing technical expertise.
Amazon SWE compensation (2024 data): SDE I: $120k-160k base, $150k-250k total; SDE II: $140k-200k base, $220k-350k total; SDE III: $170k-240k base, $300k-500k total; Principal SDE: $200k+ base, $400k+ total. Amazon's compensation is front-loaded with cash and signing bonuses, then transitions to equity. Strong internal mobility, rapid career progression possible, and opportunities across AWS, retail, devices, and emerging tech.
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