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Design a Moderated Messaging Service

Last updated: Apr 22, 2026

Quick Overview

This question evaluates system design competency, covering scalable distributed architecture, data modeling, API design, integration with external moderation services, and operational concerns such as backpressure, retries, and duplicate processing.

  • medium
  • Illumio
  • System Design
  • Software Engineer

Design a Moderated Messaging Service

Company: Illumio

Role: Software Engineer

Category: System Design

Difficulty: medium

Interview Round: Onsite

Design a one-to-one messaging system with the following requirements: 1. A user can send a message to another user. 2. Users can view their chat history. 3. Every outgoing message must be checked by an external AI moderation service for inappropriate text. Discuss the end-to-end architecture, data model, APIs, and storage choices. Then address these follow-up questions: - If a large burst of messages arrives, how would you prevent the system from crashing or running out of memory? - The external AI service can be slow. How would you keep the user experience responsive while still preventing unsafe content from reaching recipients? - How would you handle retries, failures, and duplicate processing?

Quick Answer: This question evaluates system design competency, covering scalable distributed architecture, data modeling, API design, integration with external moderation services, and operational concerns such as backpressure, retries, and duplicate processing.

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Illumio
Oct 20, 2025, 12:00 AM
Software Engineer
Onsite
System Design
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Design a one-to-one messaging system with the following requirements:

  1. A user can send a message to another user.
  2. Users can view their chat history.
  3. Every outgoing message must be checked by an external AI moderation service for inappropriate text.

Discuss the end-to-end architecture, data model, APIs, and storage choices. Then address these follow-up questions:

  • If a large burst of messages arrives, how would you prevent the system from crashing or running out of memory?
  • The external AI service can be slow. How would you keep the user experience responsive while still preventing unsafe content from reaching recipients?
  • How would you handle retries, failures, and duplicate processing?

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