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Design Scalable Expense Violation Processing

Last updated: Jun 8, 2026

Quick Overview

This question evaluates a candidate's competency in large-scale system design, covering distributed architectures, high-throughput ingestion and evaluation pipelines, rules storage and versioning, stateful trip-level processing, persistence for auditability, notification workflows, and operational concerns like scaling, retries and idempotency.

  • hard
  • Rippling
  • System Design
  • Software Engineer

Design Scalable Expense Violation Processing

Company: Rippling

Role: Software Engineer

Category: System Design

Difficulty: hard

Interview Round: Technical Screen

You now need to productionize the same corporate card policy system. Design a system that can process millions of expenses per day and tens of thousands of rules, while flagging both expense-level and trip-level violations. Discuss: - how expenses are ingested and evaluated, - how rules are stored, versioned, and loaded efficiently, - how to handle stateful trip-level limits, - how to persist violations for audit and reporting, - how to notify employees and managers about violations, - how to scale the system, handle retries and idempotency, and support future rule types and API-based rule creation.

Quick Answer: This question evaluates a candidate's competency in large-scale system design, covering distributed architectures, high-throughput ingestion and evaluation pipelines, rules storage and versioning, stateful trip-level processing, persistence for auditability, notification workflows, and operational concerns like scaling, retries and idempotency.

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Rippling logo
Rippling
Feb 27, 2026, 12:00 AM
Software Engineer
Technical Screen
System Design
34
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You now need to productionize the same corporate card policy system. Design a system that can process millions of expenses per day and tens of thousands of rules, while flagging both expense-level and trip-level violations.

Discuss:

  • how expenses are ingested and evaluated,
  • how rules are stored, versioned, and loaded efficiently,
  • how to handle stateful trip-level limits,
  • how to persist violations for audit and reporting,
  • how to notify employees and managers about violations,
  • how to scale the system, handle retries and idempotency, and support future rule types and API-based rule creation.

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