I'd done this kind of question before but never with an actual diagram component.
Choose a project you know deeply and can diagram clearly, focusing on a system with interesting scale or complexity. Start with a high-level diagram, then walk through the end-to-end flow of a typical request, highlighting key components, data stores, and trade-offs. Keep the explanation structured and tailored to Uber's scale and reliability needs.
Pro tip: Emphasize how you handled scale, failures, and trade-offs—Uber cares about systems that work at massive scale with high reliability. Quantify impact (e.g., QPS, latency, cost savings) to demonstrate business awareness.
Briefly describe the project's goal, your role, and the scale (users, requests per second, data volume). This frames why the system design matters.
Sketch the main components (clients, load balancers, services, databases, caches, queues) and their connections. Explain each component's responsibility.
Walk through a typical user action, showing how data flows through the system, including any asynchronous processing, and where state is stored.
Highlight key design decisions, alternatives considered, and how you addressed scalability, consistency, latency, and failure handling.
Conclude with the project's outcomes (metrics, business impact) and what you learned or would improve.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.
I said two weeks for an API integration and they immediately asked why.
Choose a specific API integration that had clear complexity, such as handling rate limits, data consistency, or third-party failures. Structure your answer with context, technical challenges, your actions, and the outcome, explicitly justifying the timeline with concrete milestones and trade-offs. Emphasize how you navigated ambiguity and made decisions to balance speed and quality.
Pro tip: Quantify the complexity and timeline with metrics (e.g., 'handled 10k requests/sec with 99.9% uptime') and acknowledge trade-offs you made, showing you understand engineering economics. Defend your timeline by linking delays to specific technical blockers and the value of resolving them.
Briefly describe the project, the API integration's purpose, and why it was non-trivial (e.g., scale, legacy systems, real-time constraints).
Explain the specific technical challenges: authentication, rate limiting, data transformation, error handling, or synchronization issues.
Describe how you tackled the problem: design decisions, tools used, and how you collaborated with others.
Break down the time spent: research, prototyping, implementation, testing, and deployment. Highlight any unexpected obstacles and how you adapted.
Conclude with the results (e.g., performance improvements, business impact) and what you learned or would do differently.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.
Pick a decision with clear trade-offs and real consequences, then walk through it as a structured story: context, options, criteria, decision, and outcome. Show that you weighed competing factors like scalability, latency, cost, and maintainability, and that you can articulate why the chosen path was right for the business at that time.
Pro tip: Quantify the impact of your decision (e.g., reduced p99 latency by 40%, cut infra cost by 30%) and briefly mention what you'd revisit today—this signals engineering maturity and self-awareness.
Briefly describe the project, your role, and the specific problem that required a technical decision. Keep it tight so the interviewer understands the stakes without getting lost in details.
Present 2–3 realistic alternatives you considered, including the one you chose. Explain each option's core idea and its main pros and cons.
State the factors that mattered most—e.g., scalability, latency, cost, team expertise, time-to-market—and how you prioritized them given the project's constraints.
Clearly state which option you chose and why it best satisfied your criteria. Acknowledge the trade-offs you accepted and how you mitigated them.
Describe the results (ideally with metrics) and what you learned. Mention what you might do differently now or how the decision evolved.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.
Tricky to answer without sounding like you're throwing your old team under the bus.
Choose a real project where you made a technical decision that had suboptimal outcomes, and frame your answer around what you learned and how you've applied it since. Be specific about the trade-offs you made at the time and why, then explain what you would do differently now with the benefit of hindsight. Show that you take ownership, are self-aware, and continuously improve.
Pro tip: Avoid saying 'nothing' or blaming external factors; instead, pick a decision that was reasonable given the constraints but could be improved, and emphasize the concrete change you've made in your subsequent work to avoid repeating it.
Describe the project, your role, and the key decision or approach you took, focusing on the constraints and information available at the time.
Clearly state the specific change you would make, such as a different technology choice, design pattern, or process, and explain why it would have been better.
Discuss the trade-offs you considered then versus now, showing that you understand the nuances and can evaluate decisions from multiple angles.
Describe what you learned from the experience and how you've applied that lesson in subsequent projects to demonstrate growth and adaptability.
Relate your improved approach to the challenges and values of the target company, showing how you would bring that maturity to their team.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.