/ faang-playbook / TREE.txt
swadhinbiswas feat: add Netflix L5 interview playbook · 2/2/2026
41c1cbb
55 lines · 1003 Bytes
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
V2 (recommended front door)
00-Hiring-Pipeline/
  00-Index.md
  01-ATS-and-Shortlisting.md
  02-Recruiter-Screen.md
  03-Online-Assessments.md
  04-Phone-Screens.md
  05-Onsite-Loop.md
  06-Debrief-and-Decision.md
  07-Offer-and-Closing.md
01-Foundations/
  00-Index.md
02-Role-Roadmaps/
  00-Index.md
  01-SWE-Generalist.md
  02-Backend-Engineer.md
  03-Machine-Learning-Engineer.md
  04-Data-Engineer.md
  05-Data-Scientist.md
  06-DevOps-SRE.md
  07-MLOps-Engineer.md
03-Interviews/
  00-Index.md
04-System-Design-Library/
  00-Index.md
05-ML-MLOps/
  00-Index.md
06-Data/
  00-Index.md
07-Infra-DevOps/
  00-Index.md
08-Company-Specific-Notes/
  00-Index.md
  01-FAANG-BigTech.md
  02-Unicorns-Startups.md
  03-Enterprise-Software.md
  04-Automotive-Industrial.md
  05-Geography-Leveling.md

V1 (legacy detailed folders)
00-START-HERE/
01-FOUNDATIONS/
02-ROLE-ROADMAPS/
03-INTERVIEWS/
04-SYSTEM-DESIGN-LIBRARY/
05-ML-MLOPS/
06-DATA/
07-INFRA-DEVOPS/
08-CAREER/

Root
README.md
RESOURCES.md
scripts/