This sounds like one question but it's really five.
Choose a project that demonstrates end-to-end ownership and aligns with Uber's scale and data-driven culture. Structure your answer using a narrative arc: context, problem, your role, technical decisions with trade-offs, measurable impact, and lessons learned. Emphasize how you balanced competing constraints (e.g., latency vs. cost, consistency vs. availability) and used metrics to validate decisions.
Pro tip: Quantify impact with specific metrics (e.g., 'reduced p99 latency by 40%' or 'increased conversion by 2%') and tie them to business outcomes like revenue or user retention. Also, be candid about what you'd do differently—it shows self-awareness and growth mindset, which Uber values.
Briefly describe the business problem, the product, and the technical environment (e.g., scale, stack, team size). Explain why this project mattered to the company.
Clarify your specific responsibilities and what you personally built or led. Avoid vague 'we' statements; highlight your individual impact.
Walk through 1-2 critical decisions (e.g., architecture, algorithm, database choice) and explain the alternatives, constraints, and why you chose your approach. Discuss trade-offs like latency vs. consistency, cost vs. performance.
Present concrete metrics (e.g., performance improvements, cost savings, user engagement) and connect them to business goals. Use numbers to make your impact tangible.
Share 1-2 lessons learned or alternative approaches you'd consider now. Show that you've grown from the experience and can apply those insights to future projects.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.