FAANG+ Interview Preparation

Complete guide to acing interviews at top tech companies

Company Interview Processes

Google6-8 weeks

Google Interview Process

Process:

  1. 1.Phone Screen
  2. 2.Technical Interviews (2-3)
  3. 3.On-site (4-5 rounds)
  4. 4.Hiring Committee

Focus Areas:

AlgorithmsSystem DesignLeadershipGoogliness
Meta6-8 weeks

Meta Interview Process

Process:

  1. 1.Initial Screening
  2. 2.Technical Phone Screen
  3. 3.Virtual On-site (4-5)
  4. 4.Team Matching

Focus Areas:

CodingSystem DesignProduct SenseBehavioral
Amazon8-10 weeks

Amazon Interview Process

Process:

  1. 1.Online Assessment
  2. 2.Phone Interview
  3. 3.Virtual On-site (4-5)
  4. 4.Bar Raiser

Focus Areas:

Leadership PrinciplesSystem DesignCodingBehavioral
Apple8-10 weeks

Apple Interview Process

Process:

  1. 1.Recruiter Call
  2. 2.Technical Screen
  3. 3.On-site (4-6 rounds)
  4. 4.Executive Review

Focus Areas:

Domain KnowledgeSystem DesignCodingCulture Fit
Microsoft6-8 weeks

Microsoft Interview Process

Process:

  1. 1.Initial Screen
  2. 2.Technical Interview
  3. 3.On-site (4-5 rounds)
  4. 4.As Appropriate

Focus Areas:

AlgorithmsSystem DesignProblem SolvingTeam Fit
Netflix4-6 weeks

Netflix Interview Process

Process:

  1. 1.Recruiter Screen
  2. 2.Technical Deep Dive
  3. 3.On-site (Culture Fit)
  4. 4.Executive Interview

Focus Areas:

High ImpactSystem DesignCulture FitBusiness Impact

8-Week Study Plan

1-2
20-25 hours/week

Fundamentals

  • Data Structures Review
  • Algorithm Complexity
  • Language Proficiency
  • Basic System Design
3-4
25-30 hours/week

Core Algorithms

  • Graph Algorithms
  • Dynamic Programming
  • Search & Sort
  • Advanced DS
5-6
25-30 hours/week

System Design

  • Scalability
  • Databases
  • Caching
  • API Design
  • Real Systems
7-8
20-25 hours/week

Company-Specific

  • Leadership Principles (Amazon)
  • Product Sense (Meta)
  • Googliness (Google)
  • Mock Interviews

Special Focus Areas

Amazon Leadership Principles

1Customer Obsession
2Ownership
3Invent and Simplify
4Are Right, A Lot
5Learn and Be Curious
6Hire and Develop the Best

Meta Product Sense Framework

  1. 1

    Clarify the Problem

    Ask questions to understand scope and goals

  2. 2

    Identify Users

    Define target users and their needs

  3. 3

    Brainstorm Solutions

    Generate multiple solution approaches

  4. 4

    Prioritize Features

    Use frameworks like RICE or Kano

  5. 5

    Define Metrics

    Identify success metrics and tracking

  6. 6

    Discuss Trade-offs

    Consider limitations and alternatives

Mock Interview Schedule

WeekFocusMock InterviewsResources
1-2Coding Fundamentals2-3LeetCode Easy/Medium
3-4Algorithms3-4LeetCode Medium/Hard
5-6System Design2-3Design Guru, YouTube
7-8Full Mock4-5Pramp, Interviewing.io