Amazon
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QA interview loop at Amazon
- 1
QA fundamentals
45 minTest design, boundary/equivalence, defect life-cycle, severity vs priority.
- 2
API + SQL round
45–60 minREST verbs, contract testing, JSON assertions, joins, window functions.
- 3
Bar-raiser / hiring manager
45 minOwnership stories, on-call incidents, leading quality without authority.
- 4
Automation deep-dive
60 minSelenium/Playwright architecture, waits, POM vs screenplay, flaky test triage.
Median time-to-offer from peer reports: ~17 days. Prep with our QA interview question bank.
Green flags to look for
- Test data seeded via API, not hand-crafted UI clicks.
- Automation runs on every PR — not a nightly wishful cron.
- QA is invited to grooming, not handed a finished spec.
- Devs pair with QA on flakiness instead of skipping the test.
Red flags to grill in your loop
- Flaky tests get muted, not fixed.
- Manual regression cycles longer than the sprint itself.
- No blameless post-mortems after a prod incident.
- PMs push scope changes on the day of release.
QA tech stack signals
Common industry defaults — replace with peer-reported stack as reviews arrive.
Live culture signals
- Fresh reviews (90 days)0
- Would-recommend rate—
- Culture vs site average—
- Est. time-to-offer~17 days
Questions testers reported being asked
- Automation
Walk me through how you'd stabilise a Playwright suite that fails 1 in 10 runs.
- Judgement
How do you decide what NOT to automate?
- SQL
Write SQL to find users who placed 3 or more orders in the last 30 days.
- Case design
Given a spec, write 6 test cases for the login endpoint — happy, negative, boundary, security.
- Debugging
How would you catch a race condition in a checkout that only reproduces in prod?
- Architecture
Explain the trade-offs between Page Object Model and Screenplay pattern.
Role-specific prep kit for Amazon
Insider FAQ — before you accept
＋What does the QA interview loop actually look like here?
Based on peer reports, expect a recruiter screen, a QA fundamentals round, an automation deep-dive (Selenium/Playwright), an API + SQL round, and a hiring-manager conversation. Ask the recruiter upfront whether there is a live coding round — that single question changes how you prep.
＋Do QA engineers here own test strategy or just execute it?
Look for it in the reviews below. A healthy signal: testers are in grooming, own the test plan, and can veto a release. A weaker signal: QA gets a finished spec and a deadline. Ask in your loop: 'Show me the last release where QA said no.'
＋What automation stack should I brush up on before the interview?
Whatever the pros/cons below mention most. If nothing is listed yet, assume the industry default: Selenium or Playwright + a Java/JS/Python runner, Postman or RestAssured for API, Jenkins/GitHub Actions for CI. Warm up on flakiness, waits and parallelisation — that's where 70% of tough questions live.
＋Is manual testing respected or treated as a stepping-stone?
This is culture, not process. Skim the 'Cons' below for phrases like 'only automation gets promoted' or 'manual testers left out of design reviews'. If it's absent, treat that as neutral and ask directly in the loop.
＋How is on-call and release ownership handled for QA?
Ask specifically: who joins the release bridge, who signs off, and what happens at 11pm on a Friday if a critical bug surfaces. Reviews mentioning weekend releases or lone-QA sign-off are the loudest red flag on this page.
＋What salary band should a mid-level SDET target here?
Cross-check the QA salary guides linked in the prep kit above — bands vary by city and years of experience, but the recruiter almost always negotiates within a ±15% window of their internal grid. Anchor with data, not a wish.
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