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Ramp·Software Engineer·Technical Phone Screen·Intermediate

IntermediatePrefer not to say
Jun 2026Remote

Summary

Ramp SWE technical screen that involved live API work, error handling, and some painful debugging. Ended a few minutes early with an unresolved bug, which probably didn't help the impression.

Questions Asked (2)

Q1

Given a URL that may return various HTTP error codes, write code to handle responses like 503 and 401 gracefully and retry or surface errors appropriately.

API & IntegrationsTechnical Trade-offs
Author's notes

That part went fine, no real issues.

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AI HintsAI Generated

Suggested Approach

Start by clarifying requirements: which errors are retryable (e.g., 503, 429) vs. non-retryable (e.g., 401, 403, 404), and what the caller expects. Then outline a robust HTTP client with exponential backoff and jitter for retries, and a clear error-surfacing strategy for non-retryable errors, including logging and user-friendly messages.

Pro tip: Mention that 401 should trigger a token refresh flow (if applicable) before surfacing an error, and that retries should be idempotent to avoid side effects. Also, use a circuit breaker to prevent cascading failures when a service is persistently down.

1. Classify errors

Determine which HTTP status codes are retryable (e.g., 5xx, 429) and which are not (e.g., 4xx except 429). Consider the semantics of the request (idempotent vs. non-idempotent).

2. Design retry logic

Implement exponential backoff with jitter, set a maximum number of retries, and respect Retry-After headers. Ensure retries are only attempted for idempotent operations or when safe.

3. Handle authentication errors

For 401, attempt to refresh credentials (e.g., OAuth token) once and retry the request. If refresh fails, surface an authentication error to the caller.

4. Surface errors gracefully

For non-retryable errors, log details and return a clear, actionable error to the caller. Avoid exposing sensitive information and consider user experience.

5. Implement monitoring and circuit breaking

Add logging, metrics, and alerts for error rates. Use a circuit breaker to stop retries when failure threshold is exceeded, preventing resource exhaustion.

Key Points to Mention

  • Idempotency and safety of retries
  • Exponential backoff with jitter and max retries
  • Respecting Retry-After header for 429/503
  • Token refresh flow for 401
  • Circuit breaker pattern to avoid cascading failures
  • Logging and monitoring for observability

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

Q2

After switching to a different endpoint, some responses contain a key embedded in the output. Extract that key, construct the appropriate headers, and use them to make a subsequent authenticated request.

API & IntegrationsRoot Cause AnalysisAdaptability & Ambiguity
Author's notes

I had too much debug printing going on and completely missed that some responses were returning a key.

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AI HintsAI Generated

Suggested Approach

Walk through a systematic debugging and implementation process: first, inspect the response from the new endpoint to locate the embedded key, then parse it out, construct the required authentication headers (e.g., Authorization: Bearer <key>), and finally make the authenticated request. Emphasize validation and error handling at each step to demonstrate production-ready thinking.

Pro tip: Mention that you would log or inspect the raw response before parsing to avoid assumptions about the key's location or format, and use a library like jq or a JSON parser rather than regex for robustness.

1. Inspect the response

Examine the raw response body from the new endpoint to identify where the key is embedded (e.g., JSON field, header, or nested object). Use logging or a tool like curl to see the exact structure.

2. Extract the key

Parse the response using a proper parser (e.g., JSON.parse, jq) to reliably extract the key value, handling potential variations or missing fields gracefully.

3. Construct headers

Build the appropriate authentication headers, such as Authorization: Bearer <key> or a custom header like X-API-Key: <key>, based on the API documentation or observed requirements.

4. Make authenticated request

Send the subsequent request with the constructed headers, ensuring you use the correct HTTP method, URL, and any additional required parameters.

5. Validate and handle errors

Check the response status and body for success, and implement error handling for cases like invalid key, expired token, or network issues.

Key Points to Mention

  • Use a robust parser (e.g., JSON.parse, jq) instead of regex to extract the key.
  • Understand the authentication scheme (Bearer token, API key, etc.) and construct headers accordingly.
  • Validate the extracted key before using it (e.g., check for null/empty).
  • Handle errors gracefully, such as 401 Unauthorized or 403 Forbidden, and log them for debugging.
  • Consider security implications: avoid logging sensitive keys in production.
  • Test the flow end-to-end, possibly with unit tests or integration tests.

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