Uber Engineering Manager Mock Interview

Tell me about a time you had to lead a team through a major production incident at scale—how did you coordinate engineering, communicate with stakeholders, and ensure the postmortem led to measurable reliability improvements (e.g., reducing recurrence) at Uber-like traffic volumes?

Uber builds and iterates on systems that must be resilient and fast under changing demand. Describe a technical decision you made around service design or data pipelines (latency, availability, or cost tradeoffs). How did you evaluate alternatives, and what metrics did you use to decide?

Uber often runs multiple priorities across regions and product surfaces. Walk me through how you would set quarterly technical goals for an org that includes platform and feature teams—how do you align roadmap, manage dependencies, and prevent “local optimization” from hurting overall outcomes?

In a growth environment, you may inherit a team with uneven performance or unclear ownership. Give an example of how you diagnosed the root causes (process, skills, incentives, architecture, or tooling) and then changed team structure, expectations, or engineering practices to raise delivery quality.

Imagine you’re asked to launch a new marketplace feature that requires real-time experimentation and routing decisions, but you discover late that the current monitoring and experimentation framework can’t reliably attribute impact. What would you do in the first two weeks, and how would you balance speed to launch with engineering rigor and safety?