Stripe·Software Engineer·Technical Phone Screen·Intermediate

Intermediate

May 2026

Summary

Stripe SWE interview with a focused API integration task. You're given pre-computed map data and need to upload it via a single POST request to a provided endpoint, no extra API calls allowed.

Questions Asked (1)

You're given pre-computed map data. Using only a specified POST endpoint, write code to upload and save that data to an external service in a single request.

API & IntegrationsTechnical Trade-offs

Author's notes

Constraint is the whole point here: one POST, no other calls.

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AI HintsAI Generated

Suggested Approach

Start by clarifying the requirements: the data format, the POST endpoint's expected payload, and any constraints like size limits or authentication. Then outline a solution that reads the pre-computed data, constructs a single request payload, and sends it to the endpoint, handling errors and ensuring idempotency.

Pro tip: Mention idempotency keys to prevent duplicate uploads, as this is critical in payment systems like Stripe. Also, discuss how you would handle large payloads, such as streaming or chunking if the endpoint supports it, but since it's a single request, emphasize compression or efficient serialization.

1. Clarify Requirements

Ask about the data format (JSON, CSV, etc.), the endpoint's expected schema, authentication method, and any size limits. Confirm that the data is pre-computed and available locally.

2. Design the Request

Determine how to serialize the data into the required format, set appropriate headers (Content-Type, Authorization), and include an idempotency key if supported. Consider compression if the payload is large.

3. Implement the Upload

Write code to read the data, construct the HTTP POST request, and send it. Use a robust HTTP client with timeout and retry logic (with exponential backoff) for transient failures.

4. Handle Responses and Errors

Check the response status and body. Handle success (2xx) and errors (4xx, 5xx) appropriately, logging details for debugging. Ensure idempotency to avoid duplicate data on retries.

5. Test and Validate

Test with sample data, including edge cases like empty data or maximum size. Validate that the data is correctly saved on the external service.

Key Points to Mention

Idempotency: Use idempotency keys to safely retry requests without duplicating data.
Error handling: Implement retries with exponential backoff for transient errors, and fail gracefully for permanent errors.
Payload size: Consider compression (e.g., gzip) or efficient serialization to handle large data within a single request.
Authentication: Include proper auth headers (e.g., Bearer token) as required by the endpoint.
Data validation: Ensure the pre-computed data matches the expected schema before sending to avoid 400 errors.
Logging and monitoring: Log request details and responses for debugging and audit purposes.

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