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To prepare for an Amazon internship interview, build truthful examples from your coursework, projects, jobs, or extracurricular activities; structure them with Situation, Task, Action, Result (STAR); and connect your decisions to Amazon’s Leadership Principles. Be ready to explain what you personally did, support results with accurate evidence, and answer follow-up questions. For technical roles, prepare for the assessment described for your specific job family—not a one-size-fits-all coding interview.
What to expect in an Amazon internship interview
Amazon’s internship guidance describes behavioral questions about past situations and challenges, with the Leadership Principles guiding the discussion. Interviewers may ask you to explore the details of an example, so a memorized headline is not enough: be ready to explain your choices and contribution.
Interview format depends on the job family and may vary by location or hiring cycle. Amazon’s university guidance describes one round with two one-on-one interviews, each about 45–60 minutes, for the technical and data roles covered by those pages. That is not a guaranteed format for every internship. Check your live job description, assessment invitation, and recruiter instructions for the process that applies to you.
| Role or process | Published guidance | What to take from it |
|---|---|---|
| Technical roles covered by Amazon’s university page | One round with two one-on-one interviews, about 45–60 minutes each; technical and behavioral questions. Amazon Jobs | Use the job description to identify relevant technical topics. Amazon says, “We won’t ask brain teasers.” |
| Data roles covered by Amazon’s university page | Internship interviews described as two interviews of 45–60 minutes each. Amazon Jobs | Review the skills and interview content relevant to the specific data role. |
| SDE internship online assessment | About 90 minutes: a 70-minute coding assessment, 15-minute workstyles assessment, and 5-minute feedback survey, according to Amazon’s page. Amazon Jobs | This is SDE-specific guidance; follow the components and timing in your own invitation. |
These are examples from Amazon’s published university guidance, not a complete map of every internship, team, or region. Technical content also differs by job family: Amazon gives Quality Assurance Engineering as an example that may include verbal and coding exercises, while Data Engineer and Business Intelligence Engineer interviews may combine verbal and coding exercises.
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How to prepare behavioral examples with STAR
Amazon recommends preparing specific examples that show how you took risks, succeeded, failed, and grew. Its internship guidance says to use STAR and identify relevant metrics and data where available. You can draw on class assignments, group projects, part-time work, student organizations, volunteering, or personal projects; the experience does not have to come from a previous internship.
- Situation: Briefly explain the context and the challenge.
- Task: State what you were responsible for accomplishing.
- Action: Spend most of your answer on what you personally did, why you chose that approach, and how you worked with others.
- Result: Explain the outcome and, when you have reliable evidence, quantify it. Close with what you learned if that is relevant to the example.
For instance, a student describing a team project should distinguish the team’s overall result from their own contribution: name the problem they owned, the options they considered, the steps they took, and what changed because of those steps. Do not claim a result or metric you cannot support. If an exact number is unavailable, describe the observable outcome honestly.
Connect your stories to Leadership Principles without forcing them
Choose examples that genuinely demonstrate how you approached a problem, made a decision, handled a setback, or helped a team. The connection to a Leadership Principle should come through in the actions and reasoning you describe; do not simply attach a principle’s name to a story that does not fit. Prepare a mix of examples so you can discuss different situations rather than trying to make one achievement answer every question.
Amazon notes that interviewers may dive deeper into candidates’ experience. Practice explaining the details behind each story, including your role, the evidence for the outcome, and what you would do differently. These are useful preparation prompts, not a guaranteed list of interview questions.
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Prepare for the technical assessment your role actually uses
Start with the required and preferred qualifications in the exact job description. Amazon’s technical and data interview pages describe different role-specific content, and the SDE assessment page describes a separate online assessment. Do not assume every internship requires coding practice, or that every technical position uses the SDE assessment.
- For an SDE internship, review the online-assessment information and prepare for the coding, workstyles, and feedback sections described on Amazon’s page. Treat the invitation as the authority for your assessment’s actual format.
- For other technical roles, use the job-family guidance and listed qualifications to focus your preparation. For example, Amazon’s page identifies verbal and coding exercises as possible components for Quality Assurance Engineering, Data Engineer, and Business Intelligence Engineer roles.
- If your invitation or recruiter gives instructions that differ from a general university page, follow the directions for your application.
Research Amazon, the role, and your own motivation
Amazon’s recruiting advice encourages candidates to learn about the company, its culture, and how it operates; be authentic about their experiences and interests; and think through why they want to work there. Prepare a direct answer about why the internship fits your goals and what interests you about the work, grounded in what you know about the role rather than a generic claim.
Prepare questions that help you understand the team, responsibilities, or internship experience. Amazon’s university recruiting article puts it simply: “Ask questions, then ask more.” Ask questions you genuinely want answered, and avoid treating the conversation as a performance of having researched everything.
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A focused preparation checklist
- Read the live job description and note its required and preferred qualifications.
- Review the relevant Amazon university interview page and your recruiter or assessment instructions.
- Build a bank of specific, truthful examples from work, study, projects, or extracurricular responsibilities.
- Practice STAR answers that emphasize your own decisions and actions.
- Use accurate numbers where available; describe outcomes without inventing metrics.
- Rehearse follow-up explanations about your reasoning, contribution, and lessons learned.
- Prepare technical topics only as relevant to the role and assessment invitation.
- Research the team and role, develop a genuine explanation of your interest, and bring thoughtful questions.
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