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Openai·Backend Engineer·Onsite - System Design / Architecture·Senior

Senior
Jun 2026

Summary

System design round at OpenAI for a backend engineer role, focused entirely on payment infrastructure. The question was dense and covered a lot of ground, probably more than I could fully address in one session.

Questions Asked (1)

Q1

Design a payment processing system that handles authorize, capture, and refund flows for card payments at high transaction volume. Requirements include multi-currency support, idempotency on retries, fraud screening, strong consistency on balances, exactly-once semantics for user-visible operations, an audit log, and PCI compliance. Walk through the ledger data model, how you'd integrate with payment service providers and card networks, async settlement, and monitoring.

System DesignData ModelingAPI & Integrations
Author's notes

This is one of those questions where you can tell within the first two minutes you're not going to cover everything.

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AI HintsAI Generated

Suggested Approach

Start by clarifying requirements and scale, then walk through the high-level architecture and data model, emphasizing idempotency, exactly-once semantics, and strong consistency. Dive into the ledger design, PSP integration, async settlement, and monitoring, while addressing PCI compliance and fraud screening. Conclude with trade-offs and failure handling.

Pro tip: Emphasize idempotency keys and exactly-once semantics early, as they are critical for payment systems and often overlooked. Also, discuss how you'd handle partial failures and reconciliation with PSPs to demonstrate real-world experience.

1. Clarify Requirements and Scale

Ask questions to understand transaction volume, latency requirements, supported currencies, and regulatory constraints. Confirm the need for exactly-once semantics and strong consistency.

2. High-Level Architecture

Outline the main components: API gateway, payment service, ledger, fraud service, PSP integration, and async workers. Explain how they interact to handle authorize, capture, and refund flows.

3. Ledger Data Model and Consistency

Design a double-entry ledger with accounts, transactions, and entries. Discuss how to achieve strong consistency using ACID transactions or distributed consensus, and how to support multi-currency with exchange rates.

4. Idempotency and Exactly-Once Semantics

Explain how to use idempotency keys for API requests and deduplication in the ledger. Describe how to ensure exactly-once processing of user-visible operations using unique constraints and transactional outbox patterns.

5. PSP Integration, Settlement, and Monitoring

Detail how to integrate with PSPs and card networks, handle async settlement and reconciliation, and monitor system health with metrics, logging, and alerting. Address PCI compliance and fraud screening integration.

Key Points to Mention

  • Idempotency keys and deduplication strategies for retries
  • Double-entry ledger design with strong consistency (e.g., using ACID transactions or distributed consensus)
  • Exactly-once semantics via transactional outbox and unique constraints
  • Multi-currency support with exchange rate handling and rounding
  • Asynchronous settlement and reconciliation with PSPs
  • PCI compliance (tokenization, encryption) and fraud screening integration
  • Monitoring and alerting for payment flows and ledger balances

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