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System Design Round – Design Twitter (1 Hour) Objective: Design a simplified version of Twitter, focusing on core features like posting tweets, timelines, and following users. What was assessed: Requirements gathering: Clarified functional (e.g., tweet, follow, timeline) and non-functional (e.g., scalability, latency) requirements. High-level architecture: Designed components like: User Service Tweet Service Timeline/Feed Service Follower Graph Service Data modeling: Discussed database schema for tweets, users, followers (SQL or NoSQL trade-offs). Scaling strategies: Sharding for tweet storage Caching popular tweets Fan-out vs fan-in timeline generation Tech choices: Talked about using message queues, databases, caching (e.g., Redis), etc. Bottlenecks & trade-offs: Handled questions on real-time delivery, rate limits, consistency vs availability. Interview Style: Conversational Interviewer guided parts of the discussion Follow-up questions tested understanding of distributed systems and design trade-offs
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Software Engineer 2

Interviewed at Ambient.ai

4.1★
Jul 31, 2025

System Design Round – Design Twitter (1 Hour) Objective: Design a simplified version of Twitter, focusing on core features like posting tweets, timelines, and following users. What was assessed: Requirements gathering: Clarified functional (e.g., tweet, follow, timeline) and non-functional (e.g., scalability, latency) requirements. High-level architecture: Designed components like: User Service Tweet Service Timeline/Feed Service Follower Graph Service Data modeling: Discussed database schema for tweets, users, followers (SQL or NoSQL trade-offs). Scaling strategies: Sharding for tweet storage Caching popular tweets Fan-out vs fan-in timeline generation Tech choices: Talked about using message queues, databases, caching (e.g., Redis), etc. Bottlenecks & trade-offs: Handled questions on real-time delivery, rate limits, consistency vs availability. Interview Style: Conversational Interviewer guided parts of the discussion Follow-up questions tested understanding of distributed systems and design trade-offs

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