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Design Global Nearby Restaurant Search

Last updated: Apr 30, 2026

Quick Overview

This question evaluates a candidate's ability to design a large-scale, low-latency distributed system that supports geospatial indexing, API and data model design, ranking, caching, consistency, and global deployment for a high-traffic restaurant marketplace.

  • medium
  • Uber
  • System Design
  • Software Engineer

Design Global Nearby Restaurant Search

Company: Uber

Role: Software Engineer

Category: System Design

Difficulty: medium

Interview Round: Onsite

Design a simplified global food-delivery platform similar to a restaurant marketplace. Requirements: - Merchants can register and manage restaurants. - Customers can request a list of nearby restaurants based on their location. - The system must support billions of active users globally. Discuss the high-level architecture, APIs, data model, geospatial indexing strategy, ranking, scalability, consistency, caching, and global deployment choices.

Quick Answer: This question evaluates a candidate's ability to design a large-scale, low-latency distributed system that supports geospatial indexing, API and data model design, ranking, caching, consistency, and global deployment for a high-traffic restaurant marketplace.

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Uber logo
Uber
Mar 17, 2026, 12:00 AM
Software Engineer
Onsite
System Design
10
0
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Design a simplified global food-delivery platform similar to a restaurant marketplace.

Requirements:

  • Merchants can register and manage restaurants.
  • Customers can request a list of nearby restaurants based on their location.
  • The system must support billions of active users globally.

Discuss the high-level architecture, APIs, data model, geospatial indexing strategy, ranking, scalability, consistency, caching, and global deployment choices.

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