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Design a high-throughput ad exchange

Last updated: Apr 2, 2026

Quick Overview

This question evaluates a candidate's ability to design scalable, high-throughput, low-latency distributed backend systems for real-time ad exchanges, assessing competencies such as API shape, request validation and enrichment, auction flow, traffic partitioning, storage choices, fault tolerance, and operational event logging.

  • medium
  • Roku
  • System Design
  • Backend Engineer

Design a high-throughput ad exchange

Company: Roku

Role: Backend Engineer

Category: System Design

Difficulty: medium

Interview Round: Onsite

Design an ad exchange that handles roughly 175,000 bid requests per second. Publishers send impression opportunities to the platform, and demand-side bidders respond with bids. The system should: - receive and validate bid requests, - enrich requests with user, device, and context data, - identify eligible campaigns or external bidders, - run an auction under a strict latency budget, - return the winning ad, - enforce pacing, budget limits, and frequency caps, - log impressions, clicks, and billing events for analytics and reconciliation. Discuss the API shape, core components, storage choices, partitioning strategy, fault tolerance, and the main consistency and latency trade-offs.

Quick Answer: This question evaluates a candidate's ability to design scalable, high-throughput, low-latency distributed backend systems for real-time ad exchanges, assessing competencies such as API shape, request validation and enrichment, auction flow, traffic partitioning, storage choices, fault tolerance, and operational event logging.

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Roku
Feb 25, 2026, 12:00 AM
Backend Engineer
Onsite
System Design
2
0
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Design an ad exchange that handles roughly 175,000 bid requests per second.

Publishers send impression opportunities to the platform, and demand-side bidders respond with bids. The system should:

  • receive and validate bid requests,
  • enrich requests with user, device, and context data,
  • identify eligible campaigns or external bidders,
  • run an auction under a strict latency budget,
  • return the winning ad,
  • enforce pacing, budget limits, and frequency caps,
  • log impressions, clicks, and billing events for analytics and reconciliation.

Discuss the API shape, core components, storage choices, partitioning strategy, fault tolerance, and the main consistency and latency trade-offs.

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