From Online Assessment to Offer
I recently completed the Amazon interview process for an SDE role and wanted to share my experience. Hopefully, this helps others preparing for Amazon interviews.
Timeline

• November: Completed the Online Assessment (OA)
• April: Received a call from the recruiter regarding my profile
• May–June: Interview rounds
• June: Final result received approximately one week after the last discussion
  Overall, the process took around 7 months from OA to final decision.
  Online Assessment
  I took the Online Assessment in November. The questions were of moderate difficulty and focused primarily on data structures and algorithms. After completing the OA, I did not hear back for several months.
  In April, a recruiter reached out to discuss my profile and experience. After a brief conversation, the interview loop was scheduled.

Round 1 – DSA + Leadership Principles (15 May)
The first round focused mainly on coding and problem-solving.
Coding Questions

1. A LeetCode Medium problem based on BFS/Dijkstra.
2. A LeetCode Hard problem based on Sliding Window.
   The interviewer was interested not only in the final solution but also in my thought process, edge cases, and optimization approach.
   Leadership Principles
   Around 2–3 Leadership Principle (LP) questions were discussed, focusing on Dive Deep and Invent & Simplify.
   Some areas covered:

• Handling challenging situations
• Ownership of projects
• Driving impact in ambiguous scenarios

Round 2 – Low-Level Design (LLD) + Leadership Principles (19 May)
This round started with Customer Obsession and Dive Deep.
Leadership Principles
Around 3–4 LP questions were asked in depth. The interviewer continuously dug deeper into my examples and wanted concrete details, metrics, and outcomes.
Low-Level Design
One LLD problem was discussed. The focus was on:

• Object-oriented design
• Class relationships
• Extensibility
• Handling future requirements
  The interviewer was particularly interested in design decisions and trade-offs.

Round 3 – High-Level Design (4 June)
The third round focused entirely on system design.
A single HLD problem was discussed in depth.
Topics covered:

• System architecture
• Scalability
• Availability
• Database choices
• Bottleneck analysis
• Trade-offs between different approaches
  The discussion was highly interactive, with multiple follow-up questions around scaling and optimization.

Round 4 – Bar Raiser (10 June)
The Bar Raiser round was a combination of coding and behavioral questions.
Leadership Principles
Two LP questions were discussed in detail. The interviewer went deep into the examples and challenged several decisions to understand my thought process.
Coding Questions

1. A LeetCode Medium problem
2. A LeetCode Hard problem based on Heap/Binary Search.
   The expectation was to arrive at an optimized solution while clearly communicating the reasoning behind every step.
   This round felt more challenging than the previous ones because of the depth of questioning.

Informational Discussion
After the interview loop, an informational discussion was scheduled. The conversation was primarily around the team, role expectations, and next steps in the hiring process.

Final Result
About a week after the informational discussion, I received the final result from the recruiter.

Key Takeaways

1. Leadership Principles are extremely important. Every round included behavioral discussions.
2. Be prepared for deep follow-up questions. Interviewers often spend more time validating your examples than asking new questions.
3. Strong DSA fundamentals are essential. Expect medium-to-hard coding questions and be comfortable discussing optimizations.
4. System Design matters significantly for experienced candidates. Both LLD and HLD rounds require clear communication and structured thinking.
5. Communication is critical. Interviewers want to understand your approach, not just the final answer.
   Overall, the interview process was challenging but well-structured. The combination of DSA, System Design, and Leadership Principles provided a comprehensive evaluation of both technical and behavioral skills.
   I hope this experience helps anyone preparing for Amazon interviews. Good luck!