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

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

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

3 things you will definitely take away from this course

1. Experience in designing 30 real-world system architectures 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 → Requirement 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

• To the Rust-based CLI agent (Snailer) download

  Submit at least one PR, and

  Upon merging your first PR, you will receive Collaborator permissions + practical OSS experience to include on your resume.

  
  

🚀 System design secrets of Silicon Valley Big Tech.

Silicon Valley Interview Revealed
I conducted an interview at Stanford with the author of the AI newsletter 'Noon-oji', who is also a JoCoding alumnus. We discuss how I am applying the system design from this course to the startup I am currently running in Silicon Valley.
👉 Full EO Article Interview: Secrets of Irreplaceable People Learned in Silicon Valley (Developer Edition)

• Surviving 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, DB, 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 projects will be featured as references on Thread (3.8K+) / Substack (420+), serving as powerful evidence for your portfolio/resume. If you wish, your LinkedIn/resume link can be included → providing direct evidence to recruiters.

Through my interview experiences with various U.S. Big Tech companies such as Apple, Meta, Tesla, and Snapchat, I deeply realized that global corporations in the U.S. are groups that handle terabytes of data while constantly striving for the user's benefit. Consequently, the barriers for U.S. global companies to evaluate resumes from 1,000 or even 10,000+ applicants have risen, making algorithm and system design capabilities increasingly important.

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.

Through small-group sessions with engineers from various Big Tech companies such as Apple, Google, Netflix, Meta, and OpenAI, as well as pair programming and discussion-based classes with talented individuals educated in the US, India, and China, I have studied curricula covering system design, algorithms, frontend, DB design, and OOD design. Based on these experiences and my interviews with companies like Apple, Tesla, and Meta, I have created this hands-on course rooted in real-world systems. My vision and goal for this course is to share these insights with you, providing a stepping stone in this era of AI supremacy battles between the US and China. I want to empower you to become engineers who don't just follow recipes, but truly understand the core essence and gain the strength to implement new innovations, standing shoulder-to-shoulder with the best engineers from the US, China, and Korea.

Features of this course

- Global Service Design

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

Based on real-world cases, we 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 a 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 it can be explained in an interview.

- Continuous Q&A / 1 year of additional learning material 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 Support

• Providing interview questions and strategies for FAANG, US AI companies, and major 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 employment or career changes in Korea and want to reach the Silicon Valley Big Tech system design interview level

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

- Those who are preparing for a Lead/Architect position that requires designing 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 a free 1-year membership promotion with special study materials

There are moments like this when preparing for interviews.
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, just as they would appear in real big tech interviews.

It is not just a method of 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 just "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 practical 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 directly drawing diagrams for system design problems.

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 communication skills are evaluated together

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

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

bigtechinterview.com

We recommend it to these people

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

- Based on more than 30 practical system design examples, you can 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 over 16K cumulative downloads

It can be written on your resume and LinkedIn.

- If desired, excellent designs will be featured as references on my Threads, Substack, and community channels, allowing them to 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.

(So that you can add it to your resume or portfolio)

Upon agreement, to the Thread channel (4.5K+) and Substack (paid subscription newsletter 470+)

We will introduce it as an excellent design reference.
If you wish, we will also promote your LinkedIn/resume link. (Including subscriber communities from major corporations such as Kakao and CJ)

Update: Silicon Valley Real-World Application & Open Source Track

- Currently over 18K+ cumulative downloads - We are actively operating a Rust-based CLI AI coding agent (Claude Code/Codex workflow).

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

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

Career Benefits

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

, PR required) granted → Providing examples for resume/portfolio entries

- 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 could be cited as actual references!

The person who created this course

• Silicon Valley Survivor | American Snail

  Based on the 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' (18K+ downloads)

    • Selected for the Google for Startups Program

  • Former) Engineer career at U.S. Big Tech and promising startups

    • 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 and fintech development

    • AI startup AR/B2B/SDK development

  • Proven Educational Capabilities

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

    • Produced 1,700+ cumulative students, with 4.5K+ followers on Threads and 470+ on Substack

    • Threads: https://www.threads.com/@rich_l_2024?igshid=NTc4MTIwNjQ2YQ==

    • Substack: https://open.substack.com/pub/1234373801

  
  

Notes to consider before taking the course