Master Cloud Architecture Interviews.

Practice system design with a real-time AI interviewer. Draw architectures for AWS, Azure, GCP, or DevOps & CI/CD, explain your trade-offs instantly over voice, and get actionable feedback to land your dream role.

interview-session — tech-interview.ai
Client
API Gateway
Microservice
AI
Senior Staff Engineer
Listening...
"Why did you choose an API Gateway here instead of a simple load balancer?"
Speaking...

The Ultimate Interview Simulation

Stop memorizing standard answers. Start building real intuition with dynamic, unpredictable interview scenarios.

Real-Time Voice AI

Converse naturally with an AI interviewer. It interrupts, asks probing follow-up questions, and challenges your design choices just like a real engineer.

Live Whiteboarding

Draw your architecture on our collaborative canvas. The AI sees your components instantly and bases its questions on your actual diagram.

Objective Scoring

Receive a detailed breakdown of your performance across scalability, fault tolerance, security, and cost-efficiency after every session.

Unscripted Scenarios

Whether you're architecting a global ride-sharing backend or a high-frequency trading platform, our AI dynamically generates requirements and constraints on the fly.

  • Adapts to your experience level
  • Simulates extreme scale constraints
Scenario: E-Commerce Surge

"Design an inventory system that can handle 100,000 checkout requests per second during Black Friday without overselling items."

System generates dynamic edge cases based on your initial database choice.

Comprehensive Database & Review

Every mock interview is recorded and transcribed. Review your past Q&A, diagram snapshots, and AI feedback to identify your weakest architectural areas before the real thing.

85/100
Video Streaming CDN
Strong on Latency, Weak on Cost Optimization
62/100
Global Payment Gateway
Single Point of Failure identified in Auth layer
For Organizations

Built for Engineering Excellence

Scale your technical hiring and internal mentorship with Archiboard's enterprise-grade assessment platform.

Recruitment

Candidate Screening

Send unique session URLs to candidates and test their architectural thinking before the first interview.

Automated Benchmarking
HR-Friendly Scorecards
Engineering

Custom Playbooks

Define your own architectural constraints, technology stacks, and stress-tests tailored to your team's needs.

Role-Specific Guardrails
Proprietary Tech Scenarios
Development

Internal Growth

Help your engineers prepare for Staff and Principal promotion reviews with high-fidelity architectural simulations.

Leveling Consistency
Continuous Feedback

Accelerate your engineering
team today.

Whether you're an individual engineer or a global organization, Tech-Interview.ai gives you the architectural edge.

Frequently Asked Questions

Everything you need to know about mastering architectural intuition on the Lattice.

What is tech-interview.ai?
tech-interview.ai is the world's first AI-powered platform for cloud architecture interview practice. It uses real-time voice AI and an interactive canvas to simulate high-stakes system design interviews at companies like AWS, Google, and Microsoft.
Does it support AWS and GCP besides Azure?
Yes! tech-interview.ai fully supports AWS, Azure, and Google Cloud Platform (GCP). You can choose your preferred provider, and the AI interviewer will adjust its questions, components, and feedback to align with that cloud's specific well-architected framework and best practices.
How does the AI interviewer provide feedback?
After every session, you get a comprehensive engineering report. The AI scores your performance across: Architecture Design, Security, Scalability, Cost Optimization (FinOps), Communication, and Operational Excellence. It identifies specific single points of failure in your diagram and suggests real-world improvements.
Can I use it to prepare for Staff and Principal level interviews?
Absolutely. Our AI adapts its line of questioning based on your selected seniority. For senior-plus roles, it shifts focus from simple "how" questions to complex "why" scenarios, exploring deep trade-offs, organizational constraints, and long-term maintenance costs.