Tech industry interviews are not just coding tests. They evaluate how you reason about scalability, reliability, and tradeoffs under pressure — the same judgment engineers use when making production architecture decisions at Netflix, Uber, Salesforce, and Shopify.
Tech Interview gives you AI-powered practice that mirrors the real interview experience: diagnosing latency regressions, designing distributed systems from first principles, and communicating your decisions clearly to a skeptical interviewer who will probe every assumption.
How it works
- Practice system design and algorithm problems modeled on real interviews at Netflix, Uber, Salesforce, and Shopify
- Get AI-powered feedback on your architecture decisions, consistency model choices, and capacity estimates
- Build skills across distributed systems, API design, data modeling, and performance optimization
- Track your progress across 20+ technical competencies with adaptive difficulty that scales as you improve
Why tech industry interviews need dedicated practice
Reading engineering blogs and working through LeetCode problems develops isolated skills. But tech industry interviews require you to integrate system design, algorithmic reasoning, and clear communication simultaneously — while a senior engineer probes your assumptions in real time.
Our AI coach simulates that pressure: challenging your database choice, questioning your replication strategy, asking you to justify your consistency model with quantified tradeoffs. That kind of structured interrogation is what separates candidates who pass from those who stall.
Built for engineers targeting top tech companies
Whether you are preparing for a system design loop at a streaming platform, a distributed systems round at a marketplace, or a senior engineering interview at an enterprise SaaS company, Tech Interview builds the production-grade engineering judgment that top tech teams look for.