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Frontend interview guide

Amazon

Retail, AWS Console, Alexa, Prime Video. One of the largest frontend footprints — with Leadership Principles at the centre of every round.

Frontend engineers interviewing at Amazon. Every interviewer scores at least two Leadership Principles — behavioural is not optional.

Last reviewed 2026-10-04

What they emphasise

  • Leadership Principles — every round has a behavioural component, scored formally.
  • Working-backwards product thinking — Amazon loves candidates who start from the customer problem.
  • Ownership — scope creep is a strength here, scope deflection is a failure signal.
  • Operational rigour — scale, cost, reliability framed in dollars and nines.

The loop, round by round

4 rounds. Durations and formats are typical, not guaranteed — confirm the loop shape with your recruiter in the screen.

  1. Round 1

    Recruiter screen

    ~30 minPhone

    What it covers

    • Resume walk-through, level alignment, LP orientation ('do you know what the 16 LPs are?').

    What they're looking for

    • Preparedness on the LPs. A candidate who can name five with specific stories ready signals seriously.

  2. Round 2

    Online assessment

    ~90 minTimed, platform-based (HackerRank or similar)

    What it covers

    • Two algorithmic problems. Simulation-heavy, data-structure-driven.
    • Occasionally a short work-style survey.

    What they're looking for

    • Both problems passing all tests within the time.

  3. Round 3

    Technical phone screen

    45–60 minLive coding, Chime video

    What it covers

    • One or two coding problems — DSA + a JS/UI piece on frontend teams.
    • Behavioural questions mapped to one or two LPs.

    What they're looking for

    • Clean code with the complexity named.
    • A specific LP story within the hour.

  4. Round 4

    Onsite: 'the loop' (four to five rounds)

    60 min eachLive coding, system design, behavioural — each with LP coverage

    What it covers

    • Two coding rounds — one algorithmic, one more FE-flavoured on frontend teams.
    • One system-design round — FE-shape on FE teams, distributed on generalist teams.
    • One or two behavioural / 'Bar Raiser' rounds focused heavily on the LPs.

    What they're looking for

    • Specific, STAR-formatted LP stories — one per LP, memorised cold.
    • Visible 'I own the outcome' framing — scope creep inward is a strength here.
    • In the Bar Raiser round, a candid 'I was wrong' story reads as a strong signal.

What each level expects

The bar you're being measured against — plus the failure modes candidates most often trip on at that level.

SDE 2 / mid

~2–4 years

L5 — ships features end to end with light oversight.

What they expect

  • Clean DSA fundamentals and complexity reasoning.
  • Can produce working UI code on a React/TypeScript team.
  • LP stories at the individual-contributor level.

Common failure modes

  • LP stories that are too generic — 'I always had ownership' is not an answer; 'I owned X, measured Y, outcome Z' is.

Senior

~5–8 years

L6 — technical lead for an area, deep system-design responsibility.

What they expect

  • A system-design round that owns scale, cost, and reliability as explicit numbers.
  • LP stories at the technical-lead level — 'I earned trust across teams', 'I disagreed and committed'.

Common failure modes

  • Treating the system-design round as pattern recall. Amazon rewards specific trade-offs with specific numbers.
  • LP stories that avoid negative examples — the Bar Raiser round specifically probes for them.

Principal

~8+ years

L7 — multi-team technical direction, visible across org.

What they expect

  • LP stories at the multi-team or org level, with measurable outcomes in dollars or user impact.
  • A system-design discussion that reads as peer-to-peer.

Common failure modes

  • L6-shape stories at L7 scope. The Principal bar is specifically about multi-team leverage.

How to crack it

Day-of advice. The specific moves that separate offers from no-offers when the content is already in your head.

  1. 1Memorise all 16 Leadership Principles. Not word for word — but enough that each is a bucket with a specific story in it.
  2. 2Pre-write at least two STAR stories per LP you expect to be hit. Rehearse to 2 minutes each.
  3. 3In every answer, name the LP you're hitting. 'This is a Customer Obsession story. The situation was…'.
  4. 4In the Bar Raiser round, bring one 'I was wrong, I learned, I changed what I did' story that is specific and recent. Amazon reads the lack of one as insufficient scar tissue.
  5. 5Prepare one strong 'disagree and commit' story — a technical opinion you held, pushback you received, how you handled it.

How to master it (over months, not days)

The longer-horizon work. These are the habits that pay off at Senior+ bars where cramming visibly fails.

  • Learn to think in operational numbers. Latency in ms, cost in cents, reliability in nines. Amazon's culture is grounded in dollars.
  • Build the habit of 'working backwards' — on your own work, write the one-pager (or press release) for a feature before you build it.
  • Practice the LPs in your actual job. Specific stories become easy to tell when they've been consciously lived.
  • Read Amazon's leadership literature — 'Working Backwards' and the shareholder letters. Not for talking points, for the shape of thinking.
  • Scale one project you own to a point where cost and reliability matter. The experience teaches what no study can.

Resources

On-site content for the technical prep, plus short-list of external links worth your time.

A note on sources. This guide synthesises public engineering blogs, published job descriptions, widely cited level frameworks, and public interview reports. Nothing here is insider knowledge or NDA-sensitive. Loops evolve — confirm the current shape with your recruiter.

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