Software Dev Engineer FTE position at Amazon Audible

amazon logo
amazon
Software Development Engineer (SDE) - Full-TimeVirtual (East Coast, USA)
April 9, 20253 reads

Summary

I recently completed the final virtual onsite interviews for a Software Development Engineer (SDE) – Full-Time New Grad role at Amazon, which included behavioral and coding rounds. I walked away learning a lot about Amazon’s culture and the importance of leadership principles.

Full Experience

I recently completed the final virtual onsite interviews for the Software Development Engineer (SDE) – Full-Time Role through Amazon University Talent Acquisition, and I’d like to share my full experience for those preparing for similar roles.

Interview Details:

  • Date: April 15, 2025
  • Hosted from: Oregon (Virtual from East Coast, USA)
  • Platform: Amazon Chime + LiveCode
  • Format: 3 Interviews (1 hour each), back-to-back with a 30-minute break between round 2 and 3

Round 1 – Leadership Principles (Behavioral Only)

Entirely focused on Amazon’s LPs
Key questions included:

  • "How do you handle missing deadlines?"
  • "Tell me about a time you took initiative on a task outside your role."

The interviewer was friendly and focused on depth of examples using the STAR method.

Round 2 – Pure Coding (DSA)

Interviewer: SDM (Software Development Manager)
Two questions:

  • Q1: Variation of Binary Tree Level Order Traversal (Easy) — return levels using a linked list format
  • Q2: Medium-level Amazon K-Winner Lottery Problem — Weighted random winner based on customer purchase amount (e.g., $1 = 1 chance, $10 = 10 chances)

I fully solved the first question. I struggled a bit on the second but communicated my approach.
The interviewer was very understanding and helped me stay on track with helpful clarifications.

Round 3 – Mixed: Behavioral + Coding

~30 min behavioral:

  • "Tell me about a time you worked under pressure."
  • "Have you ever missed a deadline? What did you learn?"

~30 min coding:
Word Search in a 2D Grid — Classic DFS with backtracking problem (LeetCode Medium)
Interviewer was calm, gave hints when appropriate, and made the session very engaging.

Key Learnings:

  • Communicate clearly even if you’re stuck — your thought process matters.
  • Leadership Principles are deeply woven into the process — prepare personalized STAR stories.
  • Interviewers care more about how you think and learn, not just about passing every test case.
  • Stay calm, own your story, and show growth.

Final Note:

This was my first full SDE onsite-style experience and I walked away learning a lot about Amazon’s culture — leadership, mentorship, and high standards.

If you're on a similar journey, feel free to reach out. Happy to exchange notes and prep tips!

Interview Questions (7)

Q1
Handling Missing Deadlines
Behavioral

How do you handle missing deadlines?

Q2
Taking Initiative Outside Role
Behavioral

Tell me about a time you took initiative on a task outside your role.

Q3
Binary Tree Level Order Traversal (Linked List Format)
Data Structures & AlgorithmsEasy

A variation of Binary Tree Level Order Traversal where the task is to return levels using a linked list format.

Q4
Amazon K-Winner Lottery Problem
Data Structures & AlgorithmsMedium

A medium-level problem known as the Amazon K-Winner Lottery Problem. The goal is to determine a weighted random winner based on customer purchase amount, where, for example, $1 equals 1 chance and $10 equals 10 chances.

Q5
Working Under Pressure
Behavioral

Tell me about a time you worked under pressure.

Q6
Missed Deadline and Lessons Learned
Behavioral

Have you ever missed a deadline? What did you learn?

Q7
Word Search in a 2D Grid
Data Structures & AlgorithmsMedium

A classic DFS with backtracking problem: given a 2D grid of characters and a word, determine if the word can be found in the grid by connecting adjacent (horizontally or vertically) letters.

Preparation Tips

Preparation Summary:

DSA Practice: Blind 75, Top Amazon-tagged LeetCode problems
Key Topics: Arrays, Strings, BFS/DFS, Trees, HashMaps, Backtracking
Behavioral: Deep STAR stories from real experience: CES (Spring Boot APIs, ML forecasting), IoasiZ (CI/CD pipelines), Aramark (AWS scripts), and Harshwardhan (Networking automation)
Mock Rounds: Peer interviews + STAR reviews
Fun Fact: Mentioned my use of Audible and books I listened to: Atomic Habits, The Next Conversation, Fearless, and even How to Answer Interview Questions by Peggy McKee — great icebreaker!

Discussion (0)

Share your thoughts and ask questions

Join the Discussion

Sign in with Google to share your thoughts and ask questions

No comments yet

Be the first to share your thoughts and start the discussion!