Q1 2026 Interview Season — Start preparing today
25+ real interview problems from Netflix, Uber, Google, and Stripe. Complete with clarifying questions, architecture diagrams, and trade-off analysis.
You've spent years building real systems. You've scaled services to millions of users. But in a 45-minute interview, none of that matters if you can't articulate why you'd choose Kafka over SQS, or when consistent hashing breaks down.
The interviewer doesn't care what you built. They care how you think.
You can explain CAP theorem perfectly, but when asked "Design Twitter's timeline," your mind goes blank
You memorized "Use Kafka for messaging" but can't answer "Why not RabbitMQ? What about ordering guarantees?"
You designed a "scalable URL shortener" but the interviewer wanted to hear about cache invalidation and hot key handling
You watched every YouTube video, but still got rejected — and the feedback was "lacked depth"
One failed interview = 6 months waiting for a re-interview.
That's $100K+ in potential income delayed.
We don't teach you tricks. We teach you to think like a systems architect.
Scalability, caching, load balancing, databases — the building blocks interviewers expect you to know
Learn a repeatable framework: clarify requirements, estimate scale, design components, handle edge cases
25+ problems actually asked at Netflix, Google, Stripe — with complete solutions
Here's a preview of how we approach problems differently
Asked at Stripe, Cloudflare, Google
Typical candidate answer:
"Use Redis with a counter. Increment on each request, reset every minute."
Result: Rejected for lacking depth
What interviewers actually want to hear:
1Clarifying Questions
"Is this per-user or global? Do we need sliding window accuracy or is fixed window acceptable? What's the scale — 1K or 1M requests/second?"
2Algorithm Trade-offs
"Token bucket allows bursting but needs memory per user. Sliding window log is precise but expensive. Sliding window counter balances both — here's when I'd choose each..."
3Edge Cases & Failures
"What happens during Redis failover? Do we fail open (allow all) or fail closed (deny all)? How do we handle race conditions in distributed rate limiting?"
This is the depth we cover for every single problem.
Created by a senior engineer who has:
Taken 200+ system design interviews at top tech companies
Cracked interviews at multiple FAANG companies — been on both sides of the table
Seen exactly what separates "hire" from "no hire" — the patterns most candidates miss
"Most candidates fail not because they lack knowledge, but because they don't understand what interviewers are actually evaluating. I've sat on both sides of the table — and I built this course to show you exactly what we look for."
25+ real interview problems organized by category
+ 8 more categories
Everything you need to master system design interviews
Know exactly what to ask the interviewer to scope the problem
Visual designs you can draw on a whiteboard
Understand what you gain and what you sacrifice with each decision
QPS, storage, bandwidth — the numbers interviewers expect
Join engineers preparing for interviews at top companies
"I failed my Meta E5 system design round twice — the feedback was always 'lacked depth.' After studying the Rate Limiter and Notification System problems here, I understood what they actually wanted. Passed Google L5 with 'strong hire' feedback specifically on system design."
Senior Engineer
Now at Google (previously rejected at Meta)
"The difference between this and YouTube videos is night and day. YouTube tells you WHAT to design. This teaches you HOW to think. The trade-off sections alone are worth 10x the price."
Staff Engineer
8 YOE, Series B Startup
Problems sourced from interviews at
Not all interview prep is created equal
| Free YouTube | Other Courses | SystemExperts | |
|---|---|---|---|
| Depth of Coverage | Surface-level | Moderate | Production-grade |
| Follow-up Questions | Some | ||
| Trade-off Analysis | Brief | Detailed + Alternatives | |
| Real Interview Problems | Generic | Generic | From actual interviews |
| Scale Calculations | Basic | Complete with formulas |
A structured path to interview confidence
Scalability, databases, caching, load balancing — build your foundation. ~3-4 hours
Work through 2-3 problems per category. Focus on understanding trade-offs, not memorizing solutions. ~1-2 hours/day
Review weak areas, practice explaining designs out loud, and test your understanding. ~1 hour/day
Most engineers complete 80% of content in 20-30 total hours
One-time payment. Lifetime access. 7-day money-back guarantee.
Compare the cost:
$150-300
1 hour mock interview
$100K+
Income delayed by failed interview
This course
Less than 2 mock sessions
Perfect for focused interview prep. Full access to everything for 3 months.
One payment. Forever access. Including everything we add in the future.
7-day money-back guarantee. No questions asked.
Yes. Focus on the fundamentals section first (3-4 hours), then work through 2-3 problems in each category most relevant to your target company. Many engineers have successfully prepared in 2-3 weeks using our structured approach. The key is understanding trade-offs, not memorizing solutions.
Grokking covers fundamentals well but lacks depth on trade-offs and follow-up questions. We go deeper: each problem includes the clarifying questions interviewers expect, multiple design alternatives with pros/cons, and the edge cases that separate 'hire' from 'strong hire' feedback.
Lifetime access. Once you purchase, the content is yours forever. This includes all future updates and new problems we add quarterly.
This course is specifically designed for backend engineers. The problems focus on distributed systems, databases, caching, messaging systems, and other backend infrastructure. Frontend engineers may find some value, but the content assumes backend experience.
The course is valuable even outside interview prep. Senior engineers use it to deepen their understanding of distributed systems, learn from production-grade architectures, and think more architecturally about their own systems.
Currently the course is text-based with architecture diagrams. We've found that text allows engineers to learn at their own pace and easily reference specific sections. Videos are planned for future updates.
Yes, we provide invoices that work with most corporate learning budgets. Many engineers successfully expense this as professional development. Email us if you need a custom invoice format.
We offer a 7-day money-back guarantee, no questions asked. If the course doesn't meet your expectations, email us and we'll refund you in full.
You should have some backend development experience (2+ years recommended). We cover fundamentals, but the masterclass problems assume you're familiar with basic concepts like APIs, databases, and caching. If you're completely new to backend development, start with our free fundamentals section first.
The difference between a rejection and a $400K offer often comes down to one system design round.
Don't leave it to chance.
Start Preparing Now7-day money-back guarantee • Lifetime access • New problems added quarterly