Build a scalable Ride Matching Pipeline
Last updated: December 19, 2025
Quick Overview
Design a scalable ride matching system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
SentinelOne
System Design
Software Engineer
SentinelOne
December 19, 2025Software Engineer
Onsite
System Design
Hard
291
14
3,167 solved
Design a scalable ride matching system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
System design interviews at SentinelOne 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
- 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
Security and authentication
Monitoring, logging, and alerting
Caching strategies (local, distributed, CDN)
Load balancing and horizontal scaling
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 optimize costs as the system scales?
- What happens if one of your database nodes goes down?
- How would you handle a 10x increase in traffic overnight?
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Requirements
Functional Requirements
- Real-time Ride Matching: Match riders and drivers within seconds of receiving a request.
- Location Services: Provide accurate geolocation services to track and...
Capacity Estimation
Capacity Estimation Calculation
Assuming:
- Active Users: 10 million users (5 million drivers and 5 million riders).
- Requests per User: Average of 2 rides per user per day.
- **Total Req...
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