FAANG interviews are notoriously difficult, but they follow a well-documented structure. Once you understand the rules of the game, preparation becomes methodical rather than overwhelming. This guide lays out exactly what the process looks like in 2025 and how to prepare for each stage.
What "FAANG" actually means in 2025
The acronym has expanded. Today it's more accurately called FAANG+ or "big tech": Amazon, Apple, Google, Meta, Microsoft, Netflix, and a handful of others (Uber, Airbnb, Stripe, etc.) that run similar interview loops. The core structure is nearly identical across all of them:
- Resume screen
- Recruiter call
- Technical phone screen (1–2 rounds)
- Virtual onsite (4–6 rounds)
- Offer and negotiation
Stage 1: Getting the resume through the door
The first filter is automated. Your resume needs specific keywords to pass ATS screening: think "distributed systems," "system design," "algorithms," "data structures," and the specific languages and frameworks relevant to the role.
For the human review that follows:
- Quantify everything. "Reduced API latency by 40%" beats "improved performance."
- Lead with impact. What changed because you were on the project?
- Keep it one page if you have fewer than 10 years of experience.
A referral from a current employee dramatically increases your chance of getting a phone screen. Reach out to people you know at target companies before you apply.
Stage 2: The technical phone screen
This is usually 45–60 minutes on a shared coding editor (CoderPad, CodeSignal, or a Google Doc). One or two algorithmic problems, sometimes one system design question for senior roles.
What they're looking for:
- Can you clarify requirements before diving in?
- Do you think out loud as you code?
- Can you identify the brute-force solution and then optimize?
- Do you test your own code?
Common mistakes to avoid:
- Starting to code before you understand the problem
- Going silent for long stretches
- Writing code without checking edge cases (empty input, single element, overflow)
Stage 3: The onsite (virtual) loop
The typical onsite has 4–6 rounds, each 45–60 minutes:
| Round | Focus |
|---|---|
| Coding 1 & 2 | Algorithms and data structures |
| System Design | Design a scalable system (senior+) |
| Behavioral | Leadership principles / culture fit |
| Coding 3 (optional) | Another algorithm round or domain-specific |
Coding rounds
These are equivalent to a medium-to-hard LeetCode problem under time pressure, with the added layer of a human observer. The bar is higher than a phone screen.
Topics that appear most frequently at FAANG:
- Graphs and trees — BFS, DFS, topological sort, lowest common ancestor
- Dynamic programming — 0/1 knapsack, longest subsequence, coin change variants
- Two pointers and sliding window — substring problems, sorted array manipulation
- Intervals — merging, inserting, finding free slots
- Binary search — on answer space (not just sorted arrays)
- Heap / priority queue — top-k, merge k sorted lists
You need to have solved 150–200 focused problems to be consistently fluent here. The NeetCode 150 and LeetCode's company-tagged problem sets are your best prep resources.
System design (E4 and above at Google / L5 at Amazon)
Junior roles skip system design entirely. Mid-level and above will have at least one round. Topics to be fluent in:
- Horizontal vs. vertical scaling
- Load balancing strategies
- SQL vs. NoSQL trade-offs
- Caching (Redis, Memcached) — where and when
- Message queues (Kafka, SQS) for async processing
- CDNs for static assets
- Database sharding and replication
- API design (REST, gRPC, GraphQL)
- Rate limiting
Study "Designing Data-Intensive Applications" by Kleppmann and work through system design case studies (URL shortener, Twitter feed, Uber, Netflix, etc.).
Behavioral rounds
Every FAANG company evaluates soft skills, but Amazon is the most rigorous — they have 16 Leadership Principles and expect one story per principle, drawn from your actual work history. Prepare STAR-format answers for:
- A time you disagreed with a decision and what you did
- A time you owned a mistake
- Your biggest technical achievement
- A time you influenced without authority
- A time you had to make a decision with incomplete information
These stories should be memorized cold. Write them down, practice them out loud, time them (2 minutes each).
The meta-skill: structured thinking under pressure
What interviewers actually grade is not "did you get the right answer" but "how does this person think when they're stuck?"
A framework that works:
- Restate the problem in your own words and confirm constraints
- Talk through examples — one happy path, one edge case
- State the brute-force approach first, even if you know a better one
- Optimize — identify the bottleneck and explain your thinking
- Code the solution while narrating
- Trace through your code with a test case before declaring done
- Analyze time and space complexity
Following this structure consistently, even when you're nervous, is itself a strong positive signal.
Timeline
| Weeks | Focus |
|---|---|
| 1–4 | Arrays, strings, hash maps, two pointers — Easy/Medium |
| 5–8 | Trees, graphs, BFS/DFS, binary search — Medium |
| 9–12 | Dynamic programming, intervals, heaps — Medium/Hard |
| 13–14 | Mock interviews, company-specific problem sets |
| 15–16 | System design deep-dives, behavioral stories |
16 weeks is realistic for someone starting from scratch. If you already solve medium problems consistently, compress to 8 weeks.
Tools that give you an edge
Beyond LeetCode itself, the engineers who prepare most effectively use supplemental tools:
- NeetCode.io — video walkthroughs of the 150 most important problems
- Pramp / Interviewing.io — mock interviews with real engineers (essential)
- "System Design Interview" by Alex Xu — accessible primer for design rounds
- LeetCodeSaurus — AI-powered solution assistant that helps you understand multiple approaches to the same problem
The FAANG interview process is hard by design. But it is learnable. Thousands of engineers who didn't go to top universities, didn't have CS degrees, and had never worked at a name-brand company have passed it by following a structured preparation plan.
The only differentiator is whether you start.
Download LeetCodeSaurus to study smarter — get AI-generated solution walkthroughs for any problem, right from your menu bar.