Design Email Infrastructure for mobile apps

Last updated: December 26, 2025

Quick Overview

Design a multi-tenant email system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.

Rippling
System Design
Software Engineer
Rippling
December 26, 2025
Software Engineer
System Design Round
System Design
Hard

308

5

3,785 solved


Design a multi-tenant email system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.

Rippling asks this during the System Design Round to assess your understanding of the full ML lifecycle. They want to see how you translate a business problem into an ML objective, design the feature pipeline, and plan for model monitoring and retraining.

What the Interviewer Expects
  • Design the full ML lifecycle from data collection to model monitoring
  • Address cold start, exploration/exploitation, and model freshness
  • Discuss multi-objective optimization and ranking systems
  • Plan for model debugging, fairness, and bias mitigation
  • Design the feature store and training pipeline for scale
  • Address model versioning, canary deployments, and rollback strategies
  • Discuss the data flywheel and long-term system evolution
Key Topics to Cover
Data collection and labeling strategy
Online vs offline evaluation
ML objective formulation and metric selection
A/B testing and experimentation
Model serving and latency optimization
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
  • What is your model retraining strategy?
  • How would you handle the cold start problem?
  • How would you handle a 10x increase in prediction requests?
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Sample Answer
Requirements
  • Functional Requirements:
    • Handle millions of email requests per day across multiple tenants.
    • Support for sending, receiving, and storing emails securely.
    • Provide features for email fi...
Capacity Estimation
  • Back-of-Envelope Calculations:
    • Assuming an average of 1 million users with each user sending/receiving 10 emails per day:
      • Total emails per day = 1,000,000 users * 10 emails = **10 mill...

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