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

Intermediate
Jul 2026

Summary

Amazon SWE behavioral loop, four questions that all had some version of 'show me receipts' built in. Nothing too surprising but the depth expected on each one was more than I anticipated.

Questions Asked (4)

Q1

Give three words that describe you as a professional, and back each one up with a concrete example.

Adaptability & Ambiguity
Author's notes

I had my three words ready but the examples felt thin under follow-up.

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AI HintsAI Generated

Suggested Approach

Choose three words that directly align with Amazon's Leadership Principles and the role's emphasis on adaptability and ambiguity. For each word, prepare a concise STAR story that demonstrates the trait in a software engineering context, quantifying impact where possible. Practice delivering the three stories in under three minutes total, ensuring each example is distinct and memorable.

Pro tip: Select words that are not generic (e.g., 'collaborative') but instead reflect Amazon's culture, such as 'Customer-Obsessed,' 'Inventive,' or 'Ownership-Driven.' This shows you've done your homework and naturally weave in the Leadership Principles.

1. Select aligned words

Pick three words that are both authentic to you and directly tied to Amazon's Leadership Principles and the job description. Avoid overused terms like 'hardworking' or 'team player' unless you can back them with a truly unique story.

2. Map each word to a STAR story

For each word, outline a specific Situation, Task, Action, and Result from your software engineering experience. Ensure the story clearly demonstrates the word and highlights your technical and behavioral skills.

3. Quantify and emphasize impact

In the Result portion, include metrics (e.g., reduced latency by 30%, increased deployment frequency by 2x) to make your examples concrete and impressive. This aligns with Amazon's data-driven culture.

4. Rehearse concise delivery

Practice telling each story in 45-60 seconds, focusing on the key actions and results. Use the STAR format naturally without sounding robotic, and ensure smooth transitions between words.

5. Connect to Amazon's context

Briefly tie each example back to how it would benefit Amazon or reflect its Leadership Principles. For instance, after a story about adaptability, mention how it aligns with 'Learn and Be Curious' or 'Bias for Action.'

Key Points to Mention

  • Amazon Leadership Principles (e.g., Customer Obsession, Ownership, Invent and Simplify, Bias for Action, Learn and Be Curious)
  • Specific technical challenges and how you navigated ambiguity (e.g., unclear requirements, shifting priorities)
  • Quantifiable results (e.g., performance improvements, cost savings, user impact)
  • Collaboration and communication skills, especially in cross-functional teams
  • Examples of learning from failure or iterating quickly based on feedback
  • Alignment with Amazon's customer-centric and fast-paced environment

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

Q2

Walk me through how you set and track your personal or professional goals.

Agile / Sprint ManagementAdaptability & Ambiguity
Author's notes

Talked about milestones and a weekly review habit.

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AI HintsAI Generated

Suggested Approach

Use a structured framework like SMART goals to show how you set clear, measurable objectives, then explain how you track progress through regular check-ins and adjust based on feedback. Emphasize how you align personal goals with team and company objectives, and how you handle ambiguity by breaking down large goals into actionable steps.

Pro tip: Demonstrate that you use data to track progress and are willing to pivot when priorities change, showing adaptability and a results-driven mindset. Mention how you incorporate feedback from peers and managers to refine your goals, reflecting Amazon's emphasis on continuous improvement.

1. Set SMART Goals

Define goals that are Specific, Measurable, Achievable, Relevant, and Time-bound, ensuring they align with team and organizational objectives.

2. Break Down into Milestones

Divide larger goals into smaller, manageable milestones with clear deadlines to track progress and maintain momentum.

3. Track Progress Regularly

Use tools like Jira, Trello, or personal dashboards to monitor progress at daily or weekly intervals, and document any blockers.

4. Review and Adjust

Conduct periodic reviews (e.g., sprint retrospectives or monthly check-ins) to assess progress, incorporate feedback, and adjust goals as needed.

5. Reflect and Iterate

After completing a goal, reflect on what worked and what didn't, and apply those lessons to future goal-setting to continuously improve.

Key Points to Mention

  • Alignment with team and company objectives (e.g., OKRs)
  • Use of Agile methodologies like sprint planning and retrospectives
  • Specific tools for tracking (e.g., Jira, Asana, Google Sheets)
  • Adaptability to changing priorities and ambiguity
  • Data-driven decision making and measurable outcomes
  • Seeking and incorporating feedback from mentors and peers

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

Q3

Describe a research paper you read recently: what problem it tackled, the core idea, the results, and what you personally took away from it.

Technical Trade-offsRoot Cause Analysis
Author's notes

Honestly the question I was least prepared for.

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AI HintsAI Generated

Suggested Approach

Choose a paper that connects to Amazon's engineering challenges, such as scalability, reliability, or cost-efficiency. Structure your answer to clearly state the problem, core idea, results, and personal takeaway, emphasizing how it applies to your work as a software engineer.

Pro tip: Select a paper that aligns with Amazon's leadership principles, like Customer Obsession or Dive Deep, and explicitly link your takeaway to a principle to show cultural fit.

1. Set the Context

Briefly introduce the paper, its authors, and why you chose to read it, highlighting its relevance to software engineering at Amazon.

2. Explain the Problem

Describe the specific problem the paper tackled, including its significance and the limitations of existing solutions.

3. Summarize the Core Idea

Concisely explain the paper's key innovation or approach, focusing on the technical trade-offs and design decisions.

4. Present the Results

Share the main findings, metrics, or outcomes, and discuss how they validated or challenged the core idea.

5. Share Your Takeaway

Reflect on what you learned and how it influences your approach to software engineering, especially in areas like root cause analysis or trade-offs.

Key Points to Mention

  • The paper's relevance to Amazon's scale, reliability, or cost-efficiency challenges
  • Technical trade-offs made in the paper's solution (e.g., consistency vs. availability, latency vs. throughput)
  • Root cause analysis or debugging insights from the paper
  • Quantitative results or benchmarks that demonstrate impact
  • How the paper's ideas could be applied to your current or future projects
  • Connection to Amazon Leadership Principles (e.g., Learn and Be Curious, Dive Deep)

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

Q4

Think of a competition where you didn't win. Why was the top solution better than yours, and what did you actually change afterward?

Algorithms & Data StructuresTechnical Trade-offs
Author's notes

This one I liked.

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AI HintsAI Generated

Suggested Approach

Choose a technical competition (e.g., coding challenge, hackathon) where you lost, and objectively analyze why the winning solution was superior in terms of algorithmic efficiency, code quality, or trade-off decisions. Then, describe the specific actions you took to improve, such as studying new algorithms, refactoring your code, or changing your design approach, and how you applied these lessons in subsequent work.

Pro tip: Emphasize the learning and growth mindset: Amazon values candidates who can critically evaluate their own work and continuously improve. Avoid sounding defensive or making excuses; instead, show genuine appreciation for the better solution and how it elevated your own standards.

1. Set the context

Briefly describe the competition, your role, and the problem or goal. Keep it concise to focus on the analysis.

2. Analyze the winning solution

Explain why the top solution was better: e.g., more efficient algorithm, better data structure choice, cleaner code, or superior trade-offs. Be specific and technical.

3. Reflect on your own approach

Acknowledge the shortcomings in your solution without being defensive. Show that you understand the gaps in your knowledge or execution.

4. Describe concrete changes

Detail the specific actions you took afterward: what you studied, practiced, or changed in your process. Focus on tangible steps, not just intentions.

5. Demonstrate impact

Explain how these changes improved your performance in later projects or competitions, ideally with measurable results or positive outcomes.

Key Points to Mention

  • Specific algorithmic or data structure improvements (e.g., using dynamic programming instead of brute force, optimizing time/space complexity).
  • Trade-off analysis (e.g., balancing readability vs. performance, choosing the right tool for the job).
  • Concrete learning actions (e.g., taking online courses, reading research papers, practicing on LeetCode, contributing to open source).
  • Application of lessons learned in subsequent work (e.g., refactored a project, improved code review practices, mentored others).
  • Growth mindset and humility: showing that you value learning from others and can objectively assess your own work.
  • Alignment with Amazon Leadership Principles: e.g., 'Learn and Be Curious', 'Insist on the Highest Standards', 'Deliver Results'.

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