Architect a multi-tenant Ride Matching Engine
Last updated: February 24, 2026
Quick Overview
Design a multi-tenant ride matching system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Workday
System Design
Software Engineer
Workday
February 24, 2026Software Engineer
Technical Screen
System Design
Hard
78
10
3,669 solved
Design a multi-tenant ride matching system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Workday asks this during the Technical Screen to assess your architectural thinking. They want to see how you decompose a complex problem, choose appropriate technologies, and reason about failure modes. Strong candidates proactively discuss monitoring, alerting, and operational concerns.
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
Load balancing and horizontal scaling
Requirements gathering and capacity estimation
Monitoring, logging, and alerting
Security and authentication
How to Approach This
- Start by clarifying functional and non-functional requirements with the interviewer.
- Estimate the scale: QPS, storage, bandwidth. This drives your design decisions.
- Draw a high-level architecture first, then deep dive into 1-2 critical components.
- Discuss trade-offs explicitly (e.g., consistency vs availability, SQL vs NoSQL).
- Address failure scenarios, monitoring, and how the system handles 10x traffic spikes.
Possible Follow-up Questions
- What monitoring and alerting would you set up on day one?
- How would you handle schema migrations with zero downtime?
- How would you handle a 10x increase in traffic overnight?
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Requirements
Functional Requirements
- User Interface: A responsive web/mobile app interface for riders and drivers to create and accept ride requests.
- Ride Matching Algorithm: A real-time algorith...
Capacity Estimation
- Daily Requests: Assume an average of 10 million requests per day, with peak periods reaching up to 100,000 requests per minute.
- User Base: Targeting 5 million active users across multipl...
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