mag7 · Expert

Netflix

Less LC-heavy than FAANG. Practical: rate limiters, metadata cache, concurrency-safe DS, graph traversal for recommendations, interval problems. Production-quality code matters.

0%Progress

Topics

14

Difficulty

5 / 5

AI policy

unspecified

Verified

2026-05-17

Culture HeavyStrong System Design

Process · 9 rounds

Interview Loop

The standardised Netflix pipeline. Numbers reflect typical SWE loops; senior loops add depth.

  1. 1

    Recruiter screen

    Transparent on comp

    30 minphonephone-screen
  2. 2

    Hiring Manager screen

    Deep dive into past projects + domain expertise

    60 minphonehiring-manager
  3. 3

    Technical screen (live CoderPad OR take-home 24–72h)

    90 minvirtual-onsitecoding
  4. 4

    Onsite, 1–2 coding

    60 minvirtual-onsitecoding
  5. 5

    Onsite, 1–2 system design (open-ended)

    60 minvirtual-onsitesystem-design
  6. 6

    Onsite, code-review / debugging

    60 minvirtual-onsitecoding
  7. 7

    Onsite, behavioral (recruiter or EM-led STAR)

    60 minvirtual-onsitebehavioral · culture-fit
  8. 8

    Sometimes skip-level / director round

    45 minvirtual-onsiteculture-fit
  9. 9

    Reference checks

    Significant weight

    phonebehavioral