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Amazon·Software Engineer·Onsite - System Design / Architecture·Intermediate

Intermediate
Apr 2026

Summary

Amazon SWE system design round focused entirely on building out a game shop. Three distinct sub-problems in one question, which felt like a lot to cover cleanly in the time given.

Questions Asked (1)

Q1

Design a game shop system that supports adding credit to a user's account, purchasing items, and processing refunds. Walk through your API design and database schema.

System DesignAPI & IntegrationsData Modeling
Author's notes

This was three questions in a trench coat.

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AI HintsAI Generated

Suggested Approach

Start by clarifying requirements and constraints (e.g., scale, consistency, idempotency) before diving into design. Then present a high-level API design with clear endpoints and a normalized database schema, explaining how they support the core operations. Finally, discuss trade-offs and potential optimizations to demonstrate depth.

Pro tip: Emphasize idempotency and transactional integrity for credit additions, purchases, and refunds—this shows you understand real-world financial systems and prevents double-spending or duplicate refunds.

1. Clarify Requirements and Constraints

Ask about expected scale, consistency requirements, payment methods, and whether refunds are full or partial. This ensures your design meets the actual needs.

2. Design the API

Define RESTful endpoints for adding credit, purchasing items, and processing refunds, including request/response formats and status codes. Consider idempotency keys for safe retries.

3. Design the Database Schema

Propose tables for users, accounts (with balance), items, purchases, and refunds. Ensure foreign keys and indexes support efficient queries and data integrity.

4. Explain the Flow and Transactions

Walk through how each operation updates the database atomically, using transactions to maintain consistency. Discuss locking or optimistic concurrency control.

5. Discuss Trade-offs and Scalability

Address potential bottlenecks, such as hot accounts, and suggest solutions like sharding, caching, or event sourcing. Mention monitoring and auditing.

Key Points to Mention

  • Idempotency keys to prevent duplicate credit additions or refunds
  • ACID transactions to ensure atomicity of purchases and refunds
  • Database schema with separate tables for users, accounts, items, purchases, and refunds
  • API versioning and clear error handling (e.g., 400 for bad request, 409 for conflict)
  • Concurrency control (e.g., optimistic locking) to handle simultaneous purchases
  • Audit trail for all financial transactions for compliance and debugging

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