Amazon — Software Engineer ✅ Passed
Level: Intern
Round: Full Journey · Type: Multiple Types · Difficulty: 6/10 · Duration: 180 min · Interviewer: Unfriendly
Topics: Behavioral Questions, Leadership Principles, Technical Questions, System Design, BFS, DFS, Time Complexity, Space Complexity
Location: Seattle, WA
Interview date: 2026-01-11
Summary
Round 1: Behavioral (BQ)
Question: The round consisted entirely of behavioral questions focused on Amazon's leadership principles. The structure involved "Tell me a time when…" questions, follow-up questions, and reflections on what I would do differently.
Round 2: Technical
Question: Two technical questions. The first involved a lottery system where I needed to find k winners with the highest probability, given a linear relationship between spending and winning. The second required writing a validation function for an Amazon training courses catalog. I was asked follow-up questions about time and space complexity, and the differences between BFS and DFS.
Round 3: Mixed (BQ + Technical)
Question: This round was split between behavioral questions, similar to the first round, and a system design question involving a package installer system that respects dependency resolution. A follow-up question asked what to do if the package had a payload to pass to install.
Details
Preparation Tips & Key Takeaways
What I Learned
- It's important to prepare behavioral stories aligned with the leadership principles and guide the interviewer to ask about my strengths.
- Clarifying the problem constraints upfront is crucial, especially when the initial problem statement is vague.
- Explaining my code while writing helps the interviewer understand my thought process.
Recommended Preparation
Coding Practice
- Practice coding problems involving probability and validation functions.
- Review time and space complexity analysis.
System Design
- Study dependency resolution concepts in package installer systems.
- Prepare for follow-up questions on payload handling.
Behavioral Questions
- Prepare STAR stories for leadership principles, focusing on experiences where I excelled.
- Practice explaining my thought process and code while implementing solutions.
Resources I Recommend
- Reviewing Amazon's leadership principles and preparing relevant stories.
- Practicing common coding and system design questions.
Common Pitfalls to Avoid
- Not clarifying problem constraints before coding.
- Failing to explain my code and thought process clearly.