← Openai Interview Insights

Openai·Software Engineer·Onsite - System Design / Architecture·Staff

StaffPrefer not to say
May 2026

Summary

System design round at OpenAI for a backend/infrastructure role. The question was essentially 'build Stripe from scratch' and it went about as well as you'd expect if you haven't thought deeply about ledger consistency before.

Questions Asked (1)

Q1

Design a payment and order processing system that handles the full order lifecycle, integrates with external payment providers, maintains a double-entry ledger, supports multi-currency, and scales to high transaction volume without data loss or inconsistency.

System DesignAPI & IntegrationsTechnical Trade-offs
Author's notes

This question ate me alive for the first ten minutes.

Create a free account to read the full note

AI HintsAI Generated

Suggested Approach

Start by clarifying requirements and constraints (e.g., scale, consistency, currencies, providers), then sketch a high-level architecture covering order lifecycle, payment integration, and ledger. Dive into critical components like idempotency, double-entry accounting, and scaling strategies, discussing trade-offs and failure handling.

Pro tip: Emphasize idempotency and exactly-once processing at every step, as payment systems must handle retries and duplicates without double-charging or corrupting the ledger. Also, discuss how you'd monitor and reconcile with external providers to detect discrepancies.

1. Clarify Requirements and Scope

Ask about expected transaction volume, latency, consistency needs, supported currencies, payment providers, and regulatory constraints. Define the order lifecycle states and what 'without data loss or inconsistency' means in practice.

2. High-Level Architecture

Outline core services: Order Service, Payment Service, Ledger Service, and Notification Service. Describe how they interact via APIs and events, and how data flows through the system.

3. Design Critical Components

Detail the order state machine, payment provider integration (with idempotency keys and webhooks), double-entry ledger schema, and multi-currency handling (e.g., storing amounts in minor units with currency codes).

4. Address Scalability and Consistency

Discuss partitioning (e.g., by user or order ID), database choices (e.g., ACID vs. BASE), caching, and asynchronous processing. Explain how to achieve exactly-once semantics using idempotency and transactional outbox patterns.

5. Handle Failures and Trade-offs

Cover retry mechanisms, circuit breakers, reconciliation jobs, and monitoring. Discuss trade-offs between consistency and availability, and how to ensure data integrity under failures.

Key Points to Mention

  • Idempotency keys for all write operations to prevent duplicate charges and ledger entries.
  • Double-entry bookkeeping: every transaction has balanced debits and credits, with immutable ledger entries.
  • Multi-currency support: store amounts in minor units (e.g., cents) with currency codes, handle FX rates and rounding.
  • Event-driven architecture with transactional outbox to reliably publish events and maintain consistency.
  • Scalability via sharding/partitioning (e.g., by user ID) and using distributed databases or NewSQL.
  • Reconciliation with external providers and automated discrepancy detection.

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.