I recently completed two rounds of Amazon SDE Virtual Onsite (VO) interviews and have received positive feedback so far. Currently waiting for the final decision.
Amazon’s VO format is quite different from many other companies. Each round combines Behavioral Questions (BQ) and Coding, with a strong emphasis on Leadership Principles. Interviewers tend to dive deep into your past experiences and expect structured, detailed answers.
Here’s a full breakdown of my experience:
Round 1: Project Deep Dive + Coding
Duration: 60 minutes (15–20 mins BQ + 40 mins Coding & Follow-up)
Behavioral Questions
- Tell me about a time you had to work under a tight deadline.
- Tell me about a project you are most proud of.
The interviewer went very deep into my project details, including technical decisions, implementation, challenges, and measurable outcomes. Preparing 2–3 strong project stories using the STAR method helped a lot here.
Coding Question
Problem: Jump Game (variant)
Given an array where each element represents the maximum jump length from that position, determine if you can reach the last index.
Approach:
- Use a greedy algorithm
- Track the farthest reachable index
- If the farthest index reaches the end, return true
Follow-up:
- Return the minimum number of jumps (discussed BFS and greedy optimization)
Overall, this round went smoothly. The coding question was a typical Amazon medium-level problem.
Round 2: Leadership Principles Deep Dive + Coding
Duration: 60 minutes
Behavioral Questions
- Tell me about a time you disagreed with your manager or teammate.
- Tell me about a time you took ownership of a problem.
- Customer Obsession related scenario
This round had a heavier focus on BQ. The interviewer asked multiple follow-ups like:
- What did you do specifically?
- What was the outcome?
- What did you learn?
Having well-prepared stories for key Leadership Principles made a big difference.
Coding Question
Problem: Find the Kth Largest Element in an Array
Approaches:
- Min Heap (Priority Queue): O(n log k)
- Quick Select: Average O(n), worst O(n²)
I implemented the heap solution and discussed Quick Select optimization.
Follow-ups:
- How to handle streaming data?
- How to deal with duplicate elements?
The coding difficulty was moderate, but the behavioral depth was noticeably higher than Round 1.
Overall Takeaways & Tips
1. Interview Format
Every round is a mix of Leadership Principles and Coding. Behavioral is not superficial — expect deep probing.
2. Preparation Strategy
- Prepare 5–6 strong stories covering key principles like Ownership, Customer Obsession, Deliver Results, Dive Deep
- Use the STAR method for structured answers
3. Coding Focus
- Practice high-frequency Amazon problems:
- Jump Game
- Kth Largest Element
- Merge Intervals
- LRU Cache
- Be ready for follow-ups: optimization, edge cases, and real-world extensions
4. Time Management
Aim to finish coding within 30–35 minutes to leave room for discussion and follow-ups.
5. Key Insight
Amazon values long-term engineering thinking and leadership potential more than just solving hard algorithms.
As long as your behavioral stories are solid and your coding is clear and structured, your chances are strong.
Final Thoughts
Both rounds received positive feedback so far, and I’m currently waiting for the final result.
If you're preparing for Amazon SDE (New Grad / Intern / SDE1 / SDE2), feel free to share your VO experience as well.
Good luck to everyone — hope you all land your Amazon offer soon!
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