FAANG Interview Prep in 2026: A Company-by-Company Practice Guide

You can spend months preparing for a format your recruiter never promised. Before choosing another coding problem, find out which skills the actual loop assesses and what tools it permits. That small clarification can change how you spend the rest of your preparation time.

This guide pairs employer-published resources with our suggested practice exercises. Google, Amazon, Meta, Apple, and Netflix do not share one universal interview format, level mapping, compensation band, or hiring timeline. Use the sources to ask better questions, then treat your recruiter-provided schedule as the guide for your own loop.

What to Confirm Before You Start

Build the preparation plan around three questions:

1. What will the coding assessment require? Ask about language, editor, running code, algorithms, practical tasks, and any permitted tools. Practice explaining and testing your own solution.
2. Which design scope matters? Clarify whether the round emphasizes service architecture, product design, domain knowledge, or another specialty.
3. How will prior work be discussed? Prepare examples of decisions, collaboration, setbacks, and outcomes, then tailor the discussion to published company guidance.

Our recommendation is to balance coding, design, and experience stories according to the confirmed loop. No source here establishes that a particular number of coding problems is optimal or that algorithms stopped mattering across big tech.

Company-by-Company Overview

Company	Published Resource	Confirm With Your Recruiter
Google	Virtual interview candidate guides	Round types, tools, and role-specific depth
Amazon	SDE preparation and Leadership Principles	The preparation guide for your SDE level
Meta	Software Engineer Full Loop Guide	Current coding, design, and behavioral format
Apple	Team descriptions and the role posting	Team expectations and assessment scope
Netflix	Culture memo and role-specific recruiting resources	Technical scope and interview sequence

Google: What to Expect

The interview process

Google's virtual interview candidate guide covers logistics and directs candidates to recruiter-provided details. It is not evidence of a fixed number of coding or behavioral rounds. Ask for the schedule and confirm the competencies for your role.

For design sessions, Google's technical virtual interview guide describes using Google Drawings for some design questions and recommends getting familiar with the tool. Rehearse communicating your diagram in the actual environment rather than assuming a polished drawing is the assessment.

Suggested practice for a Google loop

• Analytical problem-solving. Can you break down an ambiguous problem into solvable components?
• Code quality and communication. Clean code, clear variable naming, and constant communication about your thought process.
• Experience stories. Prepare examples of collaboration, ambiguity, and a decision you revised after new evidence. Confirm the behavioral topics rather than treating a label as a scoring rubric.

Preparation tips for Google

Practice solving problems with clear assumptions, readable code, and explicit edge cases. For design, use the scope your recruiter describes instead of assuming every question requires a globally distributed system. Prepare a small set of truthful stories and practice follow-up questions about your own contribution.

Amazon: Technical Work and Leadership Principles

The interview process

Amazon publishes SDE II preparation guidance covering an online assessment, the interview loop, coding, system design, and behavioral discussion. Those details are role-specific. Request the guide for your own position rather than assuming every Amazon interview follows the same sequence.

Amazon's guidance connects non-technical competencies to its 16 Leadership Principles. Prepare examples of your decisions and outcomes alongside technical practice. Do not interpret this as a guarantee about the exact questions or distribution of topics in every conversation.

Practice examples for selected Leadership Principles

The following are suggested story prompts for a selection of the published principles. They are not a measured frequency ranking:

Leadership Principle	Practice Prompt	Evidence to Explain
Customer Obsession	Customer trade-off	The customer need and why it changed your decision
Ownership	Ownership boundary	What you owned, who you involved, and what happened
Dive Deep	Unexpected failure	Your investigation and the evidence behind the fix
Bias for Action	Decision under uncertainty	The risk, reversibility, and result
Earn Trust	Trust after a mistake	What you communicated and changed
Disagree and Commit	A disagreement	How you challenged and then supported a decision

Preparation tips for Amazon

Map your strongest stories to the published principles, then identify gaps. A single project can illustrate several decisions, but keep the underlying facts consistent. For coding and design, follow the official role guide and practice explaining reliability, scalability, and trade-offs instead of memorizing company-specific answers.

Meta: Move Fast and Build

The interview process

Meta's Software Engineer Full Loop Guide describes coding, design, and behavioral interviews and directs candidates to their recruiter for specific information. Use it as a starting point and ask whether the current process for your role differs.

Suggested practice for a Meta loop

• Coding velocity and accuracy. Practice producing and checking your own solution within the time your recruiter describes. Avoid comparing company difficulty without comparable evidence.
• System design for social scale. Feeds, messaging, and moderation are useful editorial practice prompts. Confirm whether your role's design round emphasizes infrastructure, product, or another scope.
• Impact orientation. Explain the outcome and your personal contribution. Use a real metric when available; describe qualitative evidence honestly when a precise measurement does not exist.

Preparation tips for Meta

Run a timed practice session, then inspect where the time went: clarifying, designing, implementing, or testing. Rehearse design trade-offs and experience stories too. Never add a percentage or user count to a story unless you can explain where it came from.

Apple: Prepare for the Specific Team

The interview process

Apple's team descriptions span distinct areas of hardware, software, services, and operations. Start with the actual role posting and ask which technical specialties the team will assess. That public page does not establish one fixed Apple interview loop.

Prepare a project walkthrough tied to the posting. For an embedded role, you might discuss a resource constraint and debugging method; for a services role, reliability and API design may be more relevant. These are suggested exercises, not claims about a private question bank.

Suggested practice for an Apple team

• Domain expertise. Select examples demonstrating the specialties in your role posting. Be ready to distinguish what you implemented from work owned by collaborators.
• Attention to detail. Walk through a concrete defect, the investigation, and the validation you used after fixing it.
• Respect confidentiality. Explain architecture and decisions without revealing a former employer's protected information.

Preparation tips for Apple

Prepare detailed walkthroughs of your own projects, including requirements, alternatives, constraints, and outcomes. Ask whether coding, debugging, design, or a portfolio review is part of the loop. Do not assume that a specialist role means algorithms are excluded.

Netflix: Connect Your Experience to the Role

The interview process

Netflix publishes new-graduate recruiting guidance, so it is inaccurate to describe the company as hiring only senior engineers. For any level, confirm the interview sequence with your recruiting partner rather than relying on a universal round count.

The Netflix culture memo describes high performance, candor, judgment, and people over process. It is a source for understanding stated company values, not proof that a particular interview simulates the memo or follows one evaluation formula.

Practice with the published culture memo

• Independent judgment. Netflix values people who make good decisions without detailed guidance. Use a truthful example of a decision made with incomplete information.
• Communication directness. Netflix's culture emphasizes candor. Rehearse discussing trade-offs, failures, and disagreements directly, using your own examples.
• Context over control. Try a story about how you made a decision when the process did not provide a clear answer; do not assume the exact question will be asked.

Preparation tips for Netflix

Read the culture memo and prepare questions about how the team puts those values into practice. For technical preparation, use the posting and recruiter guidance. Streaming, content delivery, and recommendations are practice topics only when they fit the role.

Compare the Actual Offer Terms

Do not compare offers by assigning every company the same level labels or using an unsourced salary table. Use the written offer, location, role scope, and vesting documents. The table below is our comparison worksheet, not a market compensation dataset.

Component	Record	Question to Resolve
Base pay	Currency, location, amount, and effective date	Which amount is contractually stated?
Bonus	Target, eligibility, and payout conditions	What is guaranteed versus discretionary?
Equity	Award type, quantity, vesting, and valuation assumption	How does compensation differ by year?
Signing payment	Payment date and repayment terms	What happens if employment ends early?
Level and scope	Actual responsibilities and employer level	How is this role evaluated and promoted?

Keep guaranteed cash separate from estimates and one-time payments. Write down any assumed equity price and calculate each year using the offered vesting schedule. Do not assume a particular company's historical package describes your offer or that equal titles imply equal scope.

Prepare questions before accepting: which components can change, what conditions remain, and when an answer is due? Our salary negotiation guide provides conversation structure. A counteroffer does not guarantee an increase, and this guide does not promise a particular financial result.

The 12-Week Preparation Timeline

Week	Focus Area	Activities
1-2	Assessment and Planning	Take practice coding assessments, identify weak areas, build study plan, research target companies
3-5	Data Structures and Algorithms	Select problems exposing gaps in arrays, trees, graphs, and algorithms. Review mistakes and explain solutions out loud.
6-8	System Design	Choose role-relevant designs. State assumptions, explain trade-offs, and rehearse failure recovery.
9-10	Behavioral Preparation	Prepare truthful stories covering decisions, collaboration, and setbacks. Practice concise answers and follow-up questions.
11-12	Mock Interviews and Refinement	Full mock interview loops. Identify remaining gaps. Polish weak areas. Rest before interview day.

Preparation Mistakes to Avoid

1. Practicing an assumed format. Confirm the round types and tools before allocating preparation time.
2. Substituting memorization for explanation. Test your solution, identify assumptions, and discuss alternatives.
3. Inventing impact. Use only metrics and outcomes you can substantiate. Our behavioral interview guide can help organize a truthful story.
4. Treating company values as a script. Connect a published principle to a real decision, including what you would change.
5. Leaving offer questions unresolved. Compare actual terms and ask about uncertainty before deciding. See our negotiation guide.

For system design question preparation, see our top 50 system design interview questions guide. For the complete preparation framework beyond FAANG, read our interview preparation guide.