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Prepare for technical interviews

Get system design questions with answer frameworks, practice behavioral questions, and receive detailed feedback. Torki acts as your interview coach.

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Category
Developers
Feature
Chat
Model
Cosmos
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1

Specify your target role

Tell Torki the company, role level, and focus area. It tailors questions to the specific interview style — FAANG system design, startup product thinking, or enterprise architecture.

I'm interviewing for a senior backend engineer role at a FAANG company. Give me the top 5 system design questions with answer frameworks.

2

Practice with feedback

Answer a question and Torki evaluates your response — what was strong, what was missing, and how to improve. It simulates a real interview environment.

3

Deep dive into any topic

Struggling with a concept? Ask Torki to explain it in depth — consensus algorithms, database sharding, load balancer strategies. Build the knowledge behind the answers.

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I'm interviewing for a senior backend engineer role. Give me the top 5 system design questions with answer frameworks.
Torki
Top 5 System Design Questions for Senior Backend Roles: 1. Design a URL Shortener (like bit.ly)
  • Key areas: Hashing strategy, read-heavy workload, database choice, analytics
  • Framework: Start with API design → estimate QPS → choose storage (NoSQL for speed) → handle collisions → add caching layer → discuss expiration
2. Design a Rate Limiter
  • Key areas: Token bucket vs sliding window, distributed systems, Redis
  • Framework: Clarify requirements → choose algorithm → single server first → then distributed with Redis → handle edge cases (race conditions)
3. Design a Chat System (like WhatsApp)
  • Key areas: WebSocket connections, message delivery guarantees, presence
  • Framework: 1:1 vs group chat → connection management → message storage → delivery status → offline handling → media support
4. Design a News Feed (like Twitter)
  • Key areas: Fan-out on write vs read, ranking, caching
  • Framework: Data model → fan-out strategy → ranking algorithm → caching at multiple levels → handle celebrities (hybrid approach)
5. Design a Distributed Cache (like Memcached)
  • Key areas: Consistent hashing, eviction policies, replication
  • Framework: Single node first → partitioning → consistent hashing → replication → cache invalidation strategies
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