swadhinbiswas feat: add Netflix L5 interview playbook · 2/2/2026
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Hiring Pipeline (End-to-End)

This folder is a practical walkthrough of how hiring typically works for software/data/ML/infra roles, and what to optimize for at each stage.

If you already know your target lane, jump to 02-Role-Roadmaps/00-Index.md.

What gets evaluated (high level)

Across most “high-signal” companies, your interviews are not graded on vibes; they are graded on signals and risk reduction:

  • Can you solve problems clearly and correctly?
  • Can you communicate tradeoffs and reasoning?
  • Can you build/operate real systems (reliability, security, cost)?
  • Will you be effective with ambiguous requirements and imperfect information?

For a concrete rubric commonly used across big tech coding interviews, see Tech Interview Handbook’s rubric overview: https://www.techinterviewhandbook.org/coding-interview-rubrics/

Recommended order

  1. ATS + shortlisting (resume, referrals, targeting)
  2. Recruiter screen (scope alignment, compensation, process)
  3. Online assessment / quiz (if used)
  4. Phone screen(s)
  5. Onsite/virtual loop (coding, system design, role-specific, behavioral)
  6. Debrief / hiring committee
  7. Offer, negotiation, and closing

Cross-links to existing detailed playbooks

This repo already contains deeper playbooks; these new docs are an opinionated “front door”:

Sources used for this section