The Complete Guide to Getting Hired at a FAANG Company

Last updated: March 2026

Let me start with the uncomfortable truth: most FAANG interview advice is written by people who already work at FAANG companies. They got in, and now they tell you it is not that hard. But if you are sitting in Baku, Tbilisi, or any city outside the Bay Area tech bubble, the path to FAANG feels like climbing Everest without a map. I know because I have watched hundreds of engineers in Azerbaijan and neighboring countries attempt it — some succeed, many don't, and the difference is rarely raw talent. It is preparation, strategy, and understanding how the game works. This guide is the map I wish I had. No fluff, no motivational speeches — just the data-driven playbook for getting hired at Meta, Apple, Amazon, Netflix, Google, or Microsoft in 2026.

FAANG in 2026: The Landscape Has Changed

First, let us acknowledge that "FAANG" is an outdated acronym. Facebook is now Meta. Netflix rarely hires outside the US. The more accurate group today is MAANG (Meta, Apple, Amazon, Netflix, Google) or "Big Tech" which includes Microsoft, and increasingly companies like Nvidia, Databricks, Stripe, and OpenAI that pay FAANG-level compensation.

Compensation at FAANG Companies (2026)

Important note: Total compensation includes base salary + stock (RSU) + bonus. The stock component is the largest part at senior levels and depends on company stock performance. These numbers are for US-based roles. Remote roles from Azerbaijan/EMEA typically pay 30-50% less.

Hiring Volume (2026 vs. 2023)

After the massive layoffs of 2022-2023, FAANG companies have resumed hiring — but at a more selective pace. The bar has risen. Where Google might have hired 30,000 people in 2021, the 2026 target is closer to 15,000. Every position is harder to get. The silver lining: if you get in now, you are getting in at a time when the quality bar is at its highest, which means your credentials carry more weight.

The FAANG Interview Process: Step by Step

Step 1: Application (Week 1)

There are three ways to get into the FAANG interview pipeline:

For candidates from Azerbaijan and EMEA: Referrals are even more critical for you. FAANG recruiters receive thousands of applications from Eastern Europe and Central Asia. A referral puts your resume on top of the pile. Join communities like Blind, TeamBlind, and Azerbaijani tech communities on Telegram to find people who can refer you.

Step 2: Online Assessment / Phone Screen (Week 2-3)

Most FAANG companies start with either an online coding assessment (OA) or a phone screen with a recruiter, followed by a technical phone screen.

• Online Assessment: 1-2 LeetCode medium/hard problems, 60-90 minutes. Amazon is especially known for this.
• Technical Phone Screen: 45-minute call with an engineer. One coding problem, typically LeetCode medium difficulty. You code in a shared editor (CoderPad, Google Docs).

Step 3: On-site / Virtual On-site (Week 4-6)

The main event. 4-6 interviews in one day (or spread across 2 days for virtual). The composition varies by company:

Step 4: Hiring Committee Review (Week 6-8)

Your interviewers submit written feedback. A hiring committee (people who did not interview you) reviews the feedback and makes a hire/no-hire decision. At Google, this process is famously slow — it can take 2-6 weeks.

Step 5: Team Match and Offer (Week 8-12)

At some companies (Google, Meta), you get an offer first and then match with a team. At others (Amazon, Apple), you interview for a specific team and the team makes the decision.

Coding Interview Preparation

The coding interview is the most studied, most practiced, and most dreaded part of the FAANG process. Here is what you actually need to know.

The Topics That Matter Most

The LeetCode Strategy

Do not grind LeetCode randomly. That is the most common mistake. Instead, follow this structured approach:

1. Start with Blind 75: These 75 problems cover every major pattern. Solve each one, understand the pattern, then move on.
2. Expand to NeetCode 150: After completing Blind 75, do the NeetCode 150 for broader coverage.
3. Company-specific problems: Use LeetCode's company tags (Premium feature) to practice problems specific to your target company.
4. Timed practice: In the last 2-3 weeks before interviews, practice under time pressure — 25 minutes per medium, 40 minutes per hard.

Target: 200-300 problems total, with emphasis on understanding patterns rather than memorizing solutions.

Behavioral Interview: The Amazon Leadership Principles Method

Amazon's leadership principles (LP) interview is the gold standard for behavioral interviews, and other companies ask similar questions. You need 8-10 stories from your career that demonstrate different competencies.

The STAR Method

• Situation: Set the context (1-2 sentences)
• Task: What was your responsibility?
• Action: What did YOU do? (This should be 60% of your answer)
• Result: What was the outcome? Use metrics if possible.

Top 10 Behavioral Questions You Will Get

1. Tell me about a time you disagreed with your manager. How did you handle it?
2. Describe a project that failed. What did you learn?
3. Tell me about a time you had to make a decision with incomplete information.
4. Describe your most challenging technical project.
5. How do you prioritize when everything is urgent?
6. Tell me about a time you went above and beyond for a customer.
7. Describe a time you had to learn something quickly.
8. Tell me about a conflict with a coworker and how you resolved it.
9. What is the most innovative thing you have done?
10. Why do you want to work at [Company]?

The 12-Week FAANG Preparation Plan

Weeks 1-4: Foundation

• Review data structures and algorithms fundamentals
• Complete Blind 75 problems (aim for 3-4 per day)
• Start reading "System Design Interview" by Alex Xu
• Write 8-10 STAR stories for behavioral interview

Weeks 5-8: Deepening

• Complete NeetCode 150
• Practice system design: design 2 systems per week
• Do 2-3 mock coding interviews (Pramp, Interviewing.io)
• Polish behavioral stories, practice telling them out loud

Weeks 9-10: Company-Specific

• Focus on your target company's most-asked problems
• Do company-specific mock interviews
• Research the company's recent projects, products, and tech blog
• Practice system design problems from the company

Weeks 11-12: Final Preparation

• Timed practice only — simulate real interview conditions
• Review weak areas identified during mocks
• Rest well the day before your interview
• Prepare your setup (camera, mic, stable internet for virtual interviews)

For a deeper dive into technical interview preparation, check our Technical Interview Guide for 2026.

FAANG from Azerbaijan: Specific Challenges and Strategies

If you are based in Azerbaijan or the broader Caucasus/Central Asia region, you face unique challenges:

Challenge 1: Limited Local FAANG Presence

None of the FAANG companies have offices in Azerbaijan. The nearest Google offices are in Zurich, London, and Warsaw. Amazon has a presence in Berlin, Dublin, and Tel Aviv. This means you either need to relocate or find a remote-friendly position.

Strategy: Target European offices (London, Dublin, Zurich, Berlin, Warsaw) which are more accessible for EMEA candidates. Google Zurich, Meta London, and Amazon Luxembourg are the most realistic first targets.

Challenge 2: Visa Sponsorship

FAANG companies sponsor visas, but the process adds complexity. EU Blue Card (Germany), Skilled Worker Visa (UK), and L-Permits (Switzerland) are the most common paths.

Strategy: Apply for positions that explicitly mention visa sponsorship. European offices are generally more willing to sponsor than US offices (where H-1B lottery is a bottleneck).

Challenge 3: Time Zone Differences for Interviews

Virtual on-site interviews may be scheduled at inconvenient times. Azerbaijan (GMT+4) is 8-12 hours ahead of US West Coast.

Strategy: Request European interviewers when possible. Most companies can accommodate this. If not, prepare to interview at 7-8 PM Baku time (for US morning slots).

Challenge 4: Limited Networking Opportunities

There are fewer FAANG alumni in Azerbaijan compared to cities like Bangalore, Berlin, or Warsaw.

Strategy: Join online communities — Blind, levels.fyi, LeetCode discuss, tech Twitter/X, and Azerbaijani/Turkish tech Telegram groups. Attend virtual tech conferences. Contribute to open source to build visibility.

What I Actually Think

I have watched enough engineers from this region go through the FAANG process to have strong opinions:

FAANG is not the only path to a great career. The TC (total compensation) numbers are seductive, but they come with intense expectations, potential burnout, and for international hires, the stress of relocation and visa dependency. Some of the best engineers I know earn $200K+ working remotely for well-funded startups — from Baku, with no visa stress, no relocation costs, and with complete schedule flexibility. Do not optimize solely for the FAANG brand.

The interview is a learnable skill, separate from engineering ability. I have met exceptional engineers who failed FAANG interviews and mediocre engineers who passed. The interview tests a specific set of skills — algorithmic problem-solving under time pressure, system design communication, and behavioral storytelling. These are learnable. If you fail, it does not mean you are a bad engineer. It means you need more practice at the interview game.

Start with the company that interests you least. Your first FAANG interview should not be at your dream company. Use your first interview as practice. Apply to 3-4 companies and schedule your top choice last. You will be noticeably better by your third on-site.

The biggest barrier for Azerbaijani engineers is not skill — it is confidence. I have seen brilliant developers hesitate to apply because they think FAANG is "not for people like us." It is. I have personally seen engineers from Baku get offers at Google, Amazon, and Microsoft. The path is harder, the networking is harder, but the technical bar is the same worldwide. If you can solve LeetCode mediums in 25 minutes and design a scalable URL shortener, you can get into FAANG.

Action Plan

1. Today: Create accounts on LeetCode, NeetCode, and Levels.fyi. Assess your current level by solving 5 random medium problems.
2. This week: Start the Blind 75 list. Solve 3-4 problems per day.
3. This month: Read Chapters 1-5 of "Designing Data-Intensive Applications." Write your STAR stories.
4. Month 2: Complete NeetCode 150. Start system design practice. Schedule your first mock interview.
5. Month 3: Apply to 3-4 FAANG/Big Tech companies. Schedule interviews 2 weeks apart, dream company last.

Sources

• Levels.fyi — compensation data for FAANG companies
• Blind — anonymous professional network for tech workers
• LeetCode — coding practice platform
• NeetCode — structured LeetCode problem sets
• Xu, A. — "System Design Interview" Vol. 1 & 2
• BirJob job market data — birjob.com

I'm Ismat, and I build BirJob — Azerbaijan's job aggregator scraping 80+ sources daily.