Got through the brainstorming part okay but the actual code never reached a runnable state.
Start by clarifying requirements and constraints, such as payout frequency, data volume, and integration specifics. Then outline a high-level architecture that separates concerns: data ingestion from the delivery API, payout calculation, and payment processing. Finally, dive into key components, trade-offs, and potential failure modes.
Pro tip: Emphasize idempotency and exactly-once processing to avoid duplicate payouts, and discuss how you would handle API rate limits and data consistency. Showing awareness of financial accuracy and auditability will set you apart.
Ask questions to understand the scope: payout frequency (daily, weekly), data volume, delivery API details (rate limits, data format), and compliance needs. This ensures you design the right system.
Sketch a system with components: API integration service, data storage, payout calculation engine, and payment processor. Explain how data flows from the delivery API to payouts.
Detail the API integration: how to handle pagination, rate limiting, and retries. Describe the payout calculation logic, including tips, bonuses, and adjustments. Discuss data storage for audit and idempotency.
Discuss trade-offs like batch vs. real-time processing, consistency vs. availability, and cost. Explain how the system scales with increasing dashers and orders.
Outline strategies for handling API failures, data inconsistencies, and payment errors. Mention monitoring, alerting, and reconciliation processes.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.
Start by clarifying that the payout system should be designed to handle multiple countries with different base pay rates by abstracting the rate logic into a configurable service. Then, discuss how to ensure accuracy, scalability, and compliance with local regulations while maintaining a consistent payout experience.
Pro tip: Emphasize the importance of idempotency and auditability in payout systems, as financial transactions must be reliable and traceable. Also, mention that you would consider using a rules engine or configuration service to avoid hardcoding rates, which allows for dynamic updates without redeploying.
Ask questions to understand the scope: which countries, how often rates change, what currencies are involved, and any regulatory constraints. This shows you think before coding.
Propose a data model that stores base pay rates per country/region, possibly with effective dates. Consider using a database table or a configuration service that can be updated independently.
Outline a service that retrieves the applicable rate based on the courier's location and other factors, calculates pay, and handles currency conversion if needed. Discuss caching for performance.
Discuss trade-offs between consistency and availability, latency vs. accuracy, and build vs. buy for currency conversion. Mention how to handle rate changes mid-period.
Talk about idempotent payout processing, audit logs, and compliance with local labor laws. Mention monitoring and alerting for anomalies.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.