← Ramp Interview Insights

Ramp·Software Engineer·Technical Phone Screen·Intermediate

Intermediate
Jun 2026

Summary

Ramp software engineer interview with a pretty unusual coding problem. Not your typical leetcode grind, more of a real-world API chaining exercise that tripped me up more than I expected.

Questions Asked (1)

Q1

Build a program that repeatedly calls an HTTP API where each response contains the next URL to call, following the chain until you reach the end of the maze and printing the final result.

API & IntegrationsAlgorithms & Data StructuresTechnical Trade-offs
Author's notes

The concept clicked fast but the implementation had more edge cases than I gave it credit for.

Create a free account to read the full note

AI HintsAI Generated

Suggested Approach

Start by clarifying the problem constraints (e.g., API behavior, error handling, rate limits) and then outline a simple loop that follows the next URL until termination. Emphasize robustness with error handling, retries, and logging, and discuss trade-offs like recursion vs iteration and synchronous vs asynchronous calls.

Pro tip: Mention that you would add a maximum iteration limit or visited URL set to prevent infinite loops, and use exponential backoff for retries to handle transient failures gracefully.

1. Clarify Requirements and Constraints

Ask about API response format, error handling expectations, rate limits, and termination condition (e.g., no next URL or specific status).

2. Design the Core Loop

Outline a loop that makes an HTTP request, extracts the next URL, and continues until the end condition is met. Consider recursion vs iteration.

3. Implement Robustness Features

Add error handling, retries with backoff, timeout, and logging. Include safeguards like max iterations or visited set to avoid infinite loops.

4. Discuss Trade-offs and Alternatives

Compare synchronous vs asynchronous approaches, recursion vs iteration, and mention scalability considerations like concurrency and rate limiting.

5. Test and Validate

Describe how you would test the solution: unit tests with mocked HTTP responses, edge cases (e.g., empty next URL, errors), and integration tests.

Key Points to Mention

  • HTTP client library choice (e.g., requests in Python, fetch in JavaScript) and handling of status codes
  • Error handling strategies: retries with exponential backoff, timeouts, and circuit breakers
  • Termination condition: how to detect the end of the maze (e.g., missing next URL, specific status code)
  • Safeguards against infinite loops: maximum iterations, visited URL set, or cycle detection
  • Trade-offs between recursion and iteration (stack depth, readability, performance)
  • Asynchronous vs synchronous execution and potential for concurrency to speed up the chain

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