← Coinbase Interview Insights

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

SeniorPrefer not to say
May 2026

Summary

Redo interview at Coinbase for a software engineer role, same interviewer as before. The question was a crypto brokerage system design pulled straight from 1point3acres, so if you've done your prep there you'll recognize it immediately.

Questions Asked (1)

Q1

Design a crypto brokerage platform.

System DesignTechnical Trade-offsData Modeling
Author's notes

It's a known question if you've been lurking the right prep forums, which I had.

Create a free account to read the full note

AI HintsAI Generated

Suggested Approach

Start by clarifying the scope and requirements of the crypto brokerage platform, such as supported assets, user scale, and regulatory constraints. Then, outline a high-level architecture covering key components like order management, matching engine, wallet integration, and data storage, while discussing trade-offs between consistency, latency, and scalability. Finally, dive into critical areas like data modeling for orders and transactions, and security considerations.

Pro tip: Emphasize the importance of idempotency and exactly-once processing in financial transactions to prevent duplicate orders or double-spending, and discuss how you would handle partial failures and reconciliation.

1. Clarify Requirements

Ask questions to understand the platform's scope: expected user base, supported cryptocurrencies, order types (market, limit), regulatory compliance needs, and integration with external exchanges or liquidity providers.

2. High-Level Architecture

Sketch the main components: API gateway, user service, order management system, matching engine (if internal), wallet service, and data stores. Discuss how they interact and the flow of an order from placement to execution.

3. Deep Dive into Critical Components

Focus on the order management and matching engine: how to ensure low latency, high throughput, and fairness. Discuss data models for orders, trades, and balances, and how to maintain consistency across services.

4. Address Trade-offs and Scalability

Discuss trade-offs between consistency and availability (e.g., using ACID vs. BASE), and strategies for scaling (sharding, caching, async processing). Consider regulatory and security requirements like KYC/AML and encryption.

5. Summarize and Conclude

Recap the design, highlighting how it meets the requirements and handles edge cases. Mention potential future improvements or monitoring/alerting for production readiness.

Key Points to Mention

  • Order management and matching engine design, including order types and execution logic
  • Data modeling for orders, trades, and user balances, with emphasis on consistency and idempotency
  • Integration with external liquidity providers and handling of market data feeds
  • Security measures: encryption, secure key management, and compliance (KYC/AML)
  • Scalability strategies: horizontal scaling, sharding, and caching
  • Trade-offs between latency, consistency, and availability in a financial system

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