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Design a game leaderboard service

Last updated: May 19, 2026

Quick Overview

This question evaluates a candidate's ability to design scalable, low-latency backend systems and distributed data architectures, covering competencies such as API and data model design, consistency and availability trade-offs, partitioning and caching strategies, multi-region deployment, and operational concerns like freshness and abuse mitigation. Commonly asked in the system design domain, it probes both conceptual understanding of architectural trade-offs and practical application of scaling, storage and consistency choices for real-time leaderboards across seasons and game modes.

  • easy
  • Reddit
  • System Design
  • Software Engineer

Design a game leaderboard service

Company: Reddit

Role: Software Engineer

Category: System Design

Difficulty: easy

Interview Round: Onsite

## System Design: Game Leaderboard Design a backend service that powers leaderboards for an online game. ### Core functionality - Players submit score updates (or score deltas) for a given **game mode** and **season**. - Clients can query: - **Top K** players for a leaderboard (e.g., top 100) - A given player’s **current rank** and **score** - A **range around a player** (e.g., ranks 9,950–10,050) - Support **ties** deterministically (e.g., same score → break ties by earliest timestamp or player_id). ### Non-functional requirements (you may assume numbers) - Large scale (e.g., tens of millions of players; up to hundreds of thousands of score updates/sec at peak). - Low read latency (e.g., p95 < 100 ms for top-K queries). - “Near real-time” freshness (e.g., leaderboard reflects updates within a few seconds). - High availability across regions. ### Constraints / discussion points - Score update semantics: only allow **monotonic increase** (best score) vs allow arbitrary overwrites. - How to handle **seasons/resets**, **multiple regions**, and **multiple game modes**. - How to prevent/mitigate **cheating** and abusive update patterns. Provide APIs, data/storage design, scaling strategy, and consistency tradeoffs.

Quick Answer: This question evaluates a candidate's ability to design scalable, low-latency backend systems and distributed data architectures, covering competencies such as API and data model design, consistency and availability trade-offs, partitioning and caching strategies, multi-region deployment, and operational concerns like freshness and abuse mitigation. Commonly asked in the system design domain, it probes both conceptual understanding of architectural trade-offs and practical application of scaling, storage and consistency choices for real-time leaderboards across seasons and game modes.

Reddit logo
Reddit
Jan 22, 2026, 12:00 AM
Software Engineer
Onsite
System Design
9
0
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System Design: Game Leaderboard

Design a backend service that powers leaderboards for an online game.

Core functionality

  • Players submit score updates (or score deltas) for a given game mode and season .
  • Clients can query:
    • Top K players for a leaderboard (e.g., top 100)
    • A given player’s current rank and score
    • A range around a player (e.g., ranks 9,950–10,050)
  • Support ties deterministically (e.g., same score → break ties by earliest timestamp or player_id).

Non-functional requirements (you may assume numbers)

  • Large scale (e.g., tens of millions of players; up to hundreds of thousands of score updates/sec at peak).
  • Low read latency (e.g., p95 < 100 ms for top-K queries).
  • “Near real-time” freshness (e.g., leaderboard reflects updates within a few seconds).
  • High availability across regions.

Constraints / discussion points

  • Score update semantics: only allow monotonic increase (best score) vs allow arbitrary overwrites.
  • How to handle seasons/resets , multiple regions , and multiple game modes .
  • How to prevent/mitigate cheating and abusive update patterns.

Provide APIs, data/storage design, scaling strategy, and consistency tradeoffs.

Solution

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