Design a Search for JPMorgan
Last updated: March 22, 2026
Quick Overview
Design a multi-tenant search system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
JPMorgan
March 22, 20261
13
4,810 solved
Design a multi-tenant search system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
This is a common system design question asked during Technical Screen at JPMorgan. The interviewer expects you to demonstrate your ability to design large-scale distributed systems, make well-reasoned trade-offs, and communicate your thought process clearly. JPMorgan values engineers who can think about scalability from day one.
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
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 happens if one of your database nodes goes down?
- How would you handle schema migrations with zero downtime?
- How would you handle a region-wide outage?
- How would you migrate from a monolithic to a microservices architecture?
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Requirements
- Functional Requirements:
- Support multi-tenant architecture to isolate different clients' data.
- Enable full-text search capabilities across documents, transactions, and account info...
Capacity Estimation
- User Base: Assume 100,000 active users with an average of 10 search requests per user per day.
- Total Requests: 100,000 users * 10 requests = 1,000,000 requests per day.
- **Peak Load:*...
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