My Interview experience @ Amazon for Frontend Developer — and Lessons Learned

Overview

Amazon is one of the Big Tech companies known for its rigorous interview process. For Frontend Developer roles, candidates often expect algorithm-heavy assessments similar to LeetCode problems. However, Amazon's process can diverge significantly from these expectations, as demonstrated in this interview experience.

Interview Process

Initial Assessment

The process began with an email notification confirming that the candidate had passed the CV screening round for a Frontend Developer position. Following this, an online assessment was scheduled.

Contrary to expectations of algorithm problems, the assessment focused entirely on frontend development. The tasks required implementing functionality using vanilla JavaScript. This was a pleasant surprise for the candidate, who had been preparing for LeetCode-style algorithm questions but found the frontend-focused assessment more straightforward to complete.

Scheduling

The timeline moved quickly. Within a day of completing the assessment, the candidate received an interview invitation. Amazon requested five available time slots, but due to scheduling constraints, the process required additional coordination. Eventually, an interview was scheduled for approximately a week later.

Preparation Phase

With limited time before the interview, the candidate prepared by:

• Practicing LeetCode problems
• Researching Amazon's interview format (though publicly available information was sparse)
• Reviewing Amazon's Leadership Principles extensively

Technical Rounds

Behavioral Questions

The interview began with questions based on Amazon's Leadership Principles. These included:

• "What was the hardest problem you solved?"
• "How do you handle disagreement at work?"
• "Tell me about a time you worked on something but couldn't deliver it — and how you handled that situation."

Candidates are expected to use the STAR method (Situation, Task, Action, Result) to structure their responses. Interviewers reference the candidate's resume during this portion, making it critical to explain past projects and features in detail.

Algorithm Question

The technical portion featured an unconventional algorithm problem focused on promises — specifically ensuring they resolved sequentially rather than concurrently.

The candidate initially considered a recursive approach but expressed uncertainty. The interviewer confirmed the candidate was on the right track. Midway through implementation, the candidate recognized a potential optimization but couldn't immediately identify the solution.