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DoorDash·Software Engineer·Technical Phone Screen·Intermediate

IntermediatePending
Jun 2026

Summary

Did a tech screen for a mid-level SWE role at Doordash. The problem was around dasher payouts with an external delivery API integration, and I couldn't get it to a working state in time. Interviewer was fine, not particularly warm, and threw in a follow-up about handling base pay rates across different countries.

Questions Asked (2)

Q1

Design and implement a dasher payout system that integrates with a delivery API to retrieve dasher activity data.

API & IntegrationsSystem DesignTechnical Trade-offs
Author's notes

Got through the brainstorming part okay but the actual code never reached a runnable state.

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AI HintsAI Generated

Suggested Approach

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.

1. Clarify Requirements

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.

2. High-Level Architecture

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.

3. Deep Dive into Key Components

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.

4. Address Trade-offs and Scalability

Discuss trade-offs like batch vs. real-time processing, consistency vs. availability, and cost. Explain how the system scales with increasing dashers and orders.

5. Failure Handling and Monitoring

Outline strategies for handling API failures, data inconsistencies, and payment errors. Mention monitoring, alerting, and reconciliation processes.

Key Points to Mention

  • Idempotency and exactly-once processing to prevent duplicate payouts
  • Handling API rate limits and retries with exponential backoff
  • Data consistency and reconciliation between delivery data and payouts
  • Security and compliance (PCI, PII) in payment processing
  • Scalability considerations for high-volume data ingestion and processing
  • Auditability and logging for financial transactions

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

Q2

How would your payout system handle different base pay rates across different countries?

System DesignTechnical Trade-offs
Author's notes

Follow-up that I wasn't ready for.

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AI HintsAI Generated

Suggested Approach

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.

1. Clarify Requirements

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.

2. Design Data Model

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.

3. Architect Payout Service

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.

4. Address Trade-offs

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.

5. Ensure Reliability and Compliance

Talk about idempotent payout processing, audit logs, and compliance with local labor laws. Mention monitoring and alerting for anomalies.

Key Points to Mention

  • Use a configuration service or database to store base pay rates per country, allowing dynamic updates without code changes.
  • Implement a rules engine or strategy pattern to apply the correct rate based on courier location and other criteria.
  • Consider currency conversion and rounding rules, and whether to use a third-party service or build in-house.
  • Ensure idempotency in payout processing to avoid duplicate payments, and maintain an audit trail for compliance.
  • Discuss scalability: how the system handles high volume and low latency, possibly with caching and asynchronous processing.
  • Mention compliance with local regulations, such as minimum wage laws and tax withholding, which may affect base pay calculations.

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