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

Senior
May 2026

Summary

Interviewed for a software engineering role at OpenAI and got a system design round focused on building a payment processor. Pretty classic infrastructure problem but the scope they expected was broader than I anticipated.

Questions Asked (1)

Q1

Design a payment processing system.

System DesignTechnical Trade-offsAPI & Integrations
Author's notes

Spent the first few minutes just trying to nail down scope because payment processors can mean a hundred different things.

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AI HintsAI Generated

Suggested Approach

Start by clarifying the scope and requirements of the payment processing system, such as supported payment methods, expected transaction volume, and compliance needs. Then outline a high-level architecture covering key components like payment gateway, processor, and ledger, and dive into critical aspects such as idempotency, consistency, and security. Finally, discuss trade-offs and potential bottlenecks, and propose scaling strategies.

Pro tip: Emphasize idempotency and exactly-once processing early, as these are critical in payment systems to prevent duplicate charges and ensure reliability. Also, mention how you would handle failures and retries gracefully, showing you understand real-world payment challenges.

1. Clarify Requirements

Ask questions to understand the system's scope: expected traffic, payment methods (credit cards, digital wallets), currencies, compliance (PCI DSS), and integration points (banks, fraud detection).

2. High-Level Design

Sketch the main components: API gateway, payment service, processor integration, ledger, and notification service. Explain the flow from payment initiation to settlement.

3. Deep Dive into Critical Areas

Discuss idempotency (using idempotency keys), consistency (ACID vs. BASE, distributed transactions), and security (encryption, tokenization). Address how to handle failures and retries.

4. Scalability and Reliability

Explain how to scale horizontally, use queues for async processing, implement circuit breakers, and ensure high availability with redundancy across regions.

5. Trade-offs and Extensions

Discuss trade-offs between consistency and availability, latency vs. durability, and potential extensions like support for multiple payment providers or reconciliation.

Key Points to Mention

  • Idempotency and exactly-once processing to prevent duplicate charges
  • Data consistency models (ACID, BASE) and distributed transaction patterns (Saga, TCC)
  • Security best practices: PCI DSS compliance, encryption, tokenization
  • Scalability strategies: horizontal scaling, sharding, async processing with queues
  • Failure handling: retries with exponential backoff, dead-letter queues, circuit breakers
  • Integration with external payment processors and banks, including API design and error handling

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