The conditions for engineers to survive in the AI era: mastering US Big Tech system design, algorithmic thinking, and open-source practical skills.

Directly design 30 systems from Netflix, Tesla, Meta, and Tinder within 6 weeks,

This is a course where you can complete everything, including your open-source portfolio, all at once.

3 things you will definitely take away from this course

1. Experience designing 30 real-world system designs from Big Tech

- Netflix, Tesla FSD, Meta, Spotify, CI/CD pipelines, etc.

- Practice distributed systems, DB, cache, MQ, disaster recovery, and scaling at an actual interview level

2. Full design from your own service architecture to DB and scaling

- SLO quantification → Requirements definition → Architecture → Data model → Scaling plan

- Templates will be provided for the final project so that it can be included in your portfolio/resume.

3. Contribute PRs to an open-source AI coding agent currently in operation

• Download to the Rust-based CLI agent (Snailer)

  Submit at least one PR, and

  Upon merging your first PR, you will receive Collaborator permissions + gain practical OSS experience that can be added to your resume.

  
  

🚀 System design secrets of Silicon Valley Big Tech.

Silicon Valley Interview Revealed
I had an interview at Stanford with the author of the AI newsletter 'Noonoji', who is an alum of JoCoding. We discussed how I am applying the system design from this lecture to the startup I am currently running in Silicon Valley.
👉 Full EO Article Interview: The Secret of Irreplaceable People Learned in Silicon Valley (Developer Edition)

• Surviving in Silicon Valley: The Story of a Developer Who Grew from Junior to Senior in Just One Year https://eopla.net/magazines/35688

Threads

https://www.threads.com/@noon.oji/post/DPxfkalEa70?xmt=AQF0d1--rNTDuzz4FWPsK-AD5DjZPI-3A73KvjLY1ERCkQ&slof=1

System Design Secrets of Silicon Valley Big Tech. Learn distributed systems, DBs, scaling, and interview preparation in a practical way using cases like Tesla FSD, Netflix streaming, and Meta infrastructure.
Finally, you will design your own service and complete everything from SLO quantification → architecture → data model → scaling.
Outstanding works will be featured as references on Thread (3.8K+) / Substack (420+), serving as powerful evidence for your portfolio and resume. If you wish, your LinkedIn/resume link can be included → providing direct proof to recruiters.

Through my interview experiences with various US Big Tech companies such as Apple, Meta, Tesla, and Snapchat, I deeply realized that these global corporations are groups that handle terabytes of data while constantly obsessing over the user experience. Consequently, the barriers for these global US companies to evaluate resumes from over 1,000 or 10,000 applicants have risen, making algorithm and system design capabilities more critical than ever.

Additionally, those currently working on side projects alone will be able to take the initiative in determining what kind of system design is needed to create a strong portfolio.

I have created this hands-on lecture based on real-world systems, drawing from my experience receiving small-group training from engineers at various Big Tech companies like Apple, Google, Netflix, Meta, and OpenAI. This included pair programming and discussion-based classes with talent educated in the US, India, and China, covering curricula such as system design, algorithms, frontend, DB design, and OOD design, as well as my experience interviewing with Apple, Tesla, and Meta. My vision and purpose for this course is to share this with you so that, amidst the current IT war between the US and China for AI hegemony, you can use this lecture as a stepping stone. I want to empower you to become engineers who don't just follow recipes, but truly understand the core essence and can implement new things, standing shoulder-to-shoulder with engineers from the US and China.

Features of this course

- Global Service Design

- Netflix, Tesla FSD, Spotify, CI/CD pipelines, etc.

Based on real-world cases, we will dive deep into "how it was designed and what trade-offs were chosen."

- Database & Object-Oriented Design

- RDBMS vs NoSQL, sharding/indexing, cache strategies, and OOD design principles

Practice with real-world examples.

- Machine Learning System Design (NEW)

- Using the Tesla FSD-style pipeline (Training → Deployment → Observation) as an example

Explains the structure of deploying ML models into actual production.

- Large-scale traffic scaling & disaster recovery design

- LB, CDN, MQ, Redis/Cache, Blob(S3), WebSocket, Proxy, Telemetry, etc.

Structure it to a level where you can explain it in an interview.

- Continuous Q&A / 1 year of additional learning materials support

- You can freely ask questions about system design even after completing the course.

- Free 1-year membership for scenario and algorithm content to prepare for interviews at FAANG and US/domestic companies

🔥 Special Study Materials Promotion: 1-year Free Membership Provided

• Provides past interview questions and interview strategies for FAANG, US AI companies, and top Korean tech companies (Naver, Kakao, Line, Coupang, Baemin, Danggeun, Toss).

• Providing practical, scenario-based system design and algorithm content

  
  

  

  
  

  
  

  

  
  

  
  

  

Recommended for the following people

- Those who are preparing for a job or career change in Korea and want to reach the Silicon Valley Big Tech system design interview level

- Job seekers/junior developers who lack actual service design/operation & open-source contribution experience to include on their resumes

- Those preparing for a Lead/Architect position where they must design a new service from scratch

- Those who have only thought, "I want to try applying to a US/global company at least once," but haven't been able to take action.

- Those who want to challenge an algorithm Leetcode rating of 1800+ - Support for 1-year free membership of special study material promotion

When preparing for interviews, there are moments like this.
You can solve the problems to some extent, but for some reason, your explanations get tangled and your designs falter during the actual interview.

The newly added Code Craft Interviews is a feature designed to help you practice OOP / API-centric problems in an actual interview flow, rather than simple LeetCode-style problems that you might encounter in real big tech interviews.

It is not just about submitting the correct code.
You will be trained to think and answer in the following order, just like in a real interview.

• Requirements Gathering

• API Design

• Happy Path Implementation

• Validation / Error Handling

• Tests

• Explaining Trade-offs

In other words, it is not "practice for solving problems," but rather
practice for thinking and explaining like a good engineer in front of an interviewer.

The problems are based on real-world scenarios in the style of DoorDash, Uber, Netflix, Spotify, Amazon, and Meta,
and are designed so that you can practice in Python, Java, Kotlin, or C++.

In addition to Code Craft Interviews, we also provide
AI resume analysis reports, personalized position recommendations, algorithm solution code analysis,
and a feature to learn the design phase with AI by drawing diagrams for system design problems yourself.

It is especially suitable for these types of people.

• Those who can solve algorithm problems to some extent but struggle with practical coding interviews

• Those who feel burdened by interviews where good code, design, and explanatory skills are all evaluated together

• Those who want to go beyond simple problem-solving and train the thought process necessary for actual passing.

Rather than a service where you simply solve many problems, I wanted to create a
training environment where you can practice in a way that actually leads to passing.

And for those who purchased the course in April,
we plan to prioritize providing a 1-month free trial benefit.
We will send out coupon codes to April purchasers via email in bulk during May.

bigtechinterview.com

Recommended for these people

- In interviews, you will be able to define SLOs numerically and explain your design while pinpointing failure/bottleneck points.

- Based on more than 30 practical system design examples, you will be able to answer scalability and reliability design questions by incorporating trade-offs.

- You can document your own service from requirements → architecture → DB design → scaling plan and include it in your portfolio.

- Actual PR links/evidence of contributing to an open-source AI coding agent with 8.6K+ cumulative downloads

You can include this on your resume and LinkedIn.

- Upon request, excellent designs will be featured as references on my Threads, Substack, and community channels so they can be used in your resume portfolio.

Design your own service from start to finish as the final project of the course.
Outstanding designs will be featured as official references.

(We will ensure you can add this to your resume or portfolio)

Upon agreement, to the Thread channel (3.8K+) and Substack (paid subscription newsletter 420+)

It will be introduced as an excellent design reference.
If desired, your LinkedIn/resume link will also be promoted. (Including subscriber communities from major corporations such as Kakao and CJ)

Update: Silicon Valley Practical Application & Open Source Track

- Current cumulative downloads 8.6K+ - We are currently operating a Rust-based CLI AI coding agent (Claude Code/Codex workflow).

- We are releasing the agent as a Public Repo so that students can make open-source contributions.

- An Open Source Contribution Guide lecture has also been added.

[1.25/2026 Update]

- We have released the Rust library for token compression used in AI coding agents as open source. This library is applied to actual services, and contributions from students are merged so that they can be reflected in portfolios or resumes. Below is the GitHub repository.

[3/2026 Update]

• The Snailer multi-model coding agent is being released and distributed as open source for its 8.6K+ users as a GUI desktop app for Mac.

  
  

Career Benefits

- Once your first PR is merged, you will be granted Collaborator permissions (branch protection

, PR required) granted → Examples for resume/portfolio entry provided

- Secure demonstrable evidence (documents, diagrams, OSS contributions) that directly leads to employment or career transitions.

Please feel free to leave your questions in the Q&A. Your designs may even be cited as actual references!

The person who created this course

• Silicon Valley Survivor | US Snail

  Based on experience and know-how accumulated at the forefront of the Global Tech Scene, I present a path for non-majors to overcome technical barriers and become masters of their business.

  • Current) Founder of a Silicon Valley AI Coding Agent Startup

    • Operating self-developed AI tool 'Snailer CLI' (8.6K+ downloads)

    • Selected for the Google for Startups Program

  • Former) US Big Tech and Promising Startup Engineer Career

    • Reached the final stage at Amazon, but gave it up to start a business.

    • Silicon Valley AI Fintech Startup Engineer

    • OpenAI / Meta / Apple / Adobe / Amazon Full-Stack Fellowship

    • Domestic search engine portal, fintech development

    • AI Startup AR/B2B/SDK Development

  • Proven Educational Capabilities

    • Double major in Computer Science and Business Administration at a 4-year university in Seoul, with extensive experience in multiple startups.

    • Produced 580+ cumulative students, with 4K+ SNS followers

  
  

Notes before taking the course