Amazon · Software Engineer (New Grad)
Amazon's new-grad SWE loop is roughly one online assessment plus four to five interviews, and it is famous for weighting behavioral as heavily as coding. Every round pairs a LeetCode-style problem with deep Leadership Principles questioning, so you are graded as much on how you make decisions and own outcomes as on whether your code runs. Expect a bar-raiser round that probes for depth on one specific past project.
Practice this interview
Free · a live voice mock calibrated to this exact role
What this interview tests
- Data structures & algorithms (hash maps, trees, graphs, light DP)
- Amazon Leadership Principles expressed through STAR stories
- Clear verbal reasoning while coding (brute force → optimal)
- Ownership and measurable impact on past projects
- Handling ambiguity and Bias for Action
- Edge-case testing and code cleanliness
Common question themes
Two-pointer / sliding-window array problems
Tree and graph traversal (BFS/DFS, shortest path)
"Tell me about a time you took ownership of a problem"
"Describe a time you disagreed with a teammate"
"Tell me about a time you dove deep to find a root cause"
Hash-map and frequency-counting problems
Modeled on a public Amazon new-grad SWE posting