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Amazon·Software Engineer·Onsite - Behavioral / Leadership·Intermediate

Intermediate
Apr 2026

Summary

Behavioral round at Amazon for a software engineer role, pretty much just one question but they wanted two examples to prove it wasn't a fluke.

Questions Asked (1)

Q1

Tell me about a time you received critical feedback. How did you react, what did you change as a result, and what happened afterward? They may ask for a second example.

Adaptability & AmbiguityConflict Resolution
Author's notes

The second example request is what gets people.

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AI HintsAI Generated

Suggested Approach

Choose a specific instance where feedback led to a measurable improvement in your work. Use the STAR method to describe the situation, your reaction, the changes you made, and the positive outcomes. Show self-awareness, humility, and a commitment to growth, and prepare a second example in case they ask.

Pro tip: Emphasize how you sought feedback proactively and turned it into a systematic improvement, not just a one-time fix. This demonstrates ownership and a growth mindset, which Amazon values highly.

1. Set the Context

Briefly describe the situation and the feedback you received, including who gave it and why it was important.

2. Describe Your Reaction

Explain how you initially felt and how you managed your emotions to respond constructively, showing self-awareness and professionalism.

3. Detail the Changes

List the specific actions you took to address the feedback, such as seeking additional input, training, or process adjustments.

4. Highlight the Outcome

Share the positive results that followed, using metrics if possible, and how the change benefited your team or project.

5. Reflect and Apply

Summarize what you learned and how you've continued to apply that lesson to prevent similar issues and grow professionally.

Key Points to Mention

  • Specific, actionable feedback received (e.g., code quality, communication, design approach)
  • Your emotional response and how you stayed open-minded
  • Concrete steps taken to improve (e.g., pair programming, code reviews, courses)
  • Measurable outcomes (e.g., reduced bugs, faster delivery, improved team collaboration)
  • Long-term behavior change and how you've incorporated feedback into your workflow
  • A second example that shows a pattern of learning from feedback

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.