Design a Caching for Brex

Last updated: July 27, 2025

Quick Overview

Design a scalable caching system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.

Brex
System Design
Software Engineer
Brex
July 27, 2025
Software Engineer
Onsite
System Design
Easy

117

12

377 solved


Design a scalable caching system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.

System design interviews at Brex typically last 45-60 minutes. You are expected to drive the conversation, starting from requirements gathering through to a detailed architecture. The interviewer will evaluate your ability to handle ambiguity and make practical engineering decisions.

What the Interviewer Expects
  • Clearly define functional and non-functional requirements
  • Propose a reasonable high-level architecture with core components
  • Choose appropriate data storage solutions with basic justification
  • Discuss basic scaling strategies (horizontal scaling, caching)
  • Identify potential bottlenecks and suggest simple solutions
Key Topics to Cover
Security and authentication
Failure handling and fault tolerance
Message queues and async processing
Consistency models and replication
Requirements gathering and capacity estimation
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 handle schema migrations with zero downtime?
  • How would you handle a region-wide outage?
  • How would you handle a 10x increase in traffic overnight?
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Sample Answer
Requirements Clarification

Before diving into the architecture, clarify the scope with the interviewer. For Caching for Brex, key functional requirements include: what are the c...

Capacity Estimation

Estimate the scale to drive design decisions. Assume 100M DAU with an average of 10 actions per user per day = 1B requests/day ~ 12K QPS average, ~36K...


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