I went in thinking this was a warmup question and kind of rambled through my stack without anchoring anything to real numbers.
Structure your answer around a recent, complex project that showcases your stack and the trade-offs you made. Explain the 'why' behind each technology choice, linking to specific requirements like scale, latency, or reliability. Quantify scale and performance with concrete metrics (e.g., QPS, data volume, p99 latency) and describe how you validated those numbers.
Pro tip: Tie your technology choices to business impact—e.g., 'We chose X to reduce payment latency by 30%, which directly improved conversion.' Stripe values engineers who understand the product implications of technical decisions.
Briefly describe the project, your role, and the key requirements (e.g., scale, latency, consistency) that drove your stack decisions.
List the languages, frameworks, services, and data stores you used, grouping them by function (e.g., frontend, backend, data).
For each major technology, explain why you chose it over alternatives, focusing on trade-offs (e.g., performance vs. developer velocity, consistency vs. availability).
Provide concrete metrics: requests per second, data volume, latency percentiles, uptime, and how you tested and monitored these.
Discuss what you learned, what you would change, and how you've evolved your stack based on production experience.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.