Design a large-scale Chat Platform

Last updated: September 28, 2025

Quick Overview

Design a geo-distributed chat system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.

Jane Street
System Design
Software Engineer
Jane Street
September 28, 2025
Software Engineer
Onsite
System Design
Hard

148

7

4,577 solved


Design a geo-distributed chat system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.

This is a common system design question asked during Onsite at Jane Street. The interviewer expects you to demonstrate your ability to design large-scale distributed systems, make well-reasoned trade-offs, and communicate your thought process clearly. Jane Street values engineers who can think about scalability from day one.

What the Interviewer Expects
  • Drive the design discussion proactively with minimal interviewer guidance
  • Perform detailed capacity estimation and use it to inform design decisions
  • Design for global scale with multi-region deployment and data consistency
  • Deep dive into 2-3 critical components with implementation-level detail
  • Address complex trade-offs: CAP theorem, eventual consistency, conflict resolution
  • Discuss operational excellence: deployment strategy, chaos engineering, SLOs/SLIs
  • Propose a phased rollout plan from MVP to full-scale system
Key Topics to Cover
Requirements gathering and capacity estimation
Database selection and data modeling
Consistency models and replication
Partitioning and sharding strategies
High-level architecture and component design
Monitoring, logging, and alerting
How to Approach This
  1. Start by clarifying functional and non-functional requirements with the interviewer.
  2. Estimate the scale: QPS, storage, bandwidth. This drives your design decisions.
  3. Draw a high-level architecture first, then deep dive into 1-2 critical components.
  4. Discuss trade-offs explicitly (e.g., consistency vs availability, SQL vs NoSQL).
  5. Address failure scenarios, monitoring, and how the system handles 10x traffic spikes.
Possible Follow-up Questions
  • How would you migrate from a monolithic to a microservices architecture?
  • What happens if one of your database nodes goes down?
  • What would the deployment pipeline look like for this system?
  • How would you optimize costs as the system scales?
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Sample Answer
Requirements
  • Functional Requirements:
  1. Real-time messaging: Users should be able to send and receive messages instantly.
  2. Group chat functionality: Support for both one-on-one chats and group discu...
Capacity Estimation

Assuming 10 million active users:

  1. Daily Active Users (DAU): 10 million.
  2. Messages per User per Day: Assume 100 messages on average.
  3. Total Messages per Day: 10 million * 100 =...

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