Uber Director Of Engineering Mock Interview

Tell us about a time you had to drive a major reliability or scalability improvement across multiple teams at Uber-like scale—what metrics did you use, how did you structure the effort, and what was the measurable outcome?

Uber’s products depend on real-time systems and complex global infrastructure—walk us through how you would design and rollout an end-to-end change to improve latency for dispatch or ETA predictions while minimizing risk and maintaining availability.

Describe a situation where you disagreed with another senior leader on an engineering tradeoff (e.g., build vs buy, monolith vs services, correctness vs speed, central platform vs team ownership). How did you resolve it and what did you learn?

Imagine you’re inheriting a delivery organization where some teams ship quickly but quality is inconsistent, and incidents are rising—what steps would you take in your first 60–90 days to align on engineering standards, ownership, and incident response?

Given Uber’s culture of data-driven decision making, how would you evaluate whether a new experimentation platform or ML-driven optimization should be adopted across the company—what success criteria, guardrails, and rollout plan would you propose?