Uber Engineering Manager Interview Questions

1.Walk me through a time you had to design a system for multiple countries or regions with very different requirements. How did you approach the technical architecture and team coordination?

2.Tell me about a time you had to launch a new feature or product quickly to meet a business opportunity or competitive threat. How did you ensure your team delivered fast without cutting corners on important areas?

3.Describe a time when you had to ship a critical feature or fix under tight deadline pressure. How did you balance speed with quality, and what safeguards did you put in place?

4.Tell me about a significant product or engineering decision you made based on data analysis. What was the decision, what data did you analyze, and how did you convince others to follow your recommendation?

5.Tell me about a time you had to architect or redesign a system to handle massive scale growth. What was the original system, what scale challenges did you face, and how did you approach the redesign?

6.Describe a time when external factors forced you to completely change your technical approach or project direction mid-stream. What happened, and how did you lead your team through the transition?

7.A critical service in your microservices architecture is experiencing cascading failures during peak hours. How do you implement circuit breakers and bulkheading to prevent system-wide outages?

8.Write a function that takes a list of driver locations and a rider pickup location, then returns the 3 closest available drivers. Optimize for the case where you're calling this millions of times per second globally.

9.You're the EM for a team managing the real-time driver location updates system. Latency spikes are causing riders to see stale driver positions, and drivers are complaining about missed trip requests. Walk me through how you'd diagnose and fix this.

10.You need to implement a feature flag system that can instantly disable specific Uber products (rides, eats, freight) in individual cities during emergencies while keeping other products running. What's your technical approach?

11.Design the data pipeline architecture for Uber Eats' dynamic pricing system that needs to adjust restaurant delivery fees based on real-time demand, driver availability, and weather conditions across all our markets.

12.You're tasked with migrating Uber's driver onboarding service from a monolith to microservices. The current system handles background checks, vehicle inspections, document uploads, and payments. How do you approach this decomposition?

13.Design the restaurant partner onboarding platform for Uber Eats that handles menu upload, payment setup, photo verification, and compliance checks. The system needs to onboard thousands of restaurants daily across different countries with varying regulatory requirements.

14.You're building the shipment tracking system for Uber Freight that gives real-time location updates for trucks carrying cargo across long-haul routes. Shippers need accurate ETAs and exception alerts, while the system must work in areas with poor cellular coverage.

15.Design the safety incident reporting and response system that needs to handle emergency situations from riders and drivers across all Uber products. The system must route incidents to appropriate response teams within 30 seconds and integrate with local emergency services.

16.Build the analytics pipeline that tracks driver earnings, trip completion rates, and marketplace health metrics across all Uber products in real-time. Business teams need to query this data instantly to make pricing and incentive decisions.

17.Design the surge pricing system that needs to calculate dynamic ride prices for millions of concurrent trip requests across all our global markets. How do you ensure price calculations are consistent and fair while handling extreme demand spikes?

18.You need to design the matching algorithm that pairs Uber Eats orders with delivery drivers in real-time. Orders must be assigned within 2 seconds, and you need to optimize for delivery time, driver utilization, and customer satisfaction across thousands of restaurants.

19.Tell me about a time you had to influence a senior stakeholder or partner team to change their technical approach when they initially disagreed with your recommendation.

20.Describe a time when you had to rebuild or significantly improve team culture and performance. What specific changes did you make and how did you measure success?

21.Walk me through a time when you had to coordinate multiple engineering teams to deliver a complex feature that spanned different product areas. How did you handle competing priorities and dependencies?

22.Tell me about a time you had to make a difficult technical or product trade-off decision that disappointed or upset some stakeholders. How did you handle the situation?

23.Describe a time when you identified a significant technical or process improvement opportunity that wasn't on anyone's roadmap. How did you build support and drive the initiative forward?

24.Tell me about a time you had to lead your team through a major technical failure or incident that impacted users. How did you handle the immediate response and the follow-up improvements?

25.If Uber Eats delivery times increased by 5 minutes on average across all markets, what would be the business impact? Walk me through your estimation approach.

26.Our driver app crash rate jumped from 0.5% to 2% overnight in São Paulo, but all other markets are stable. How would you investigate and prioritize a fix?

27.Estimate how many additional software engineers Uber would need to hire if we expanded Uber Freight to cover 50% of all freight loads in the US. Walk through your assumptions.

28.You notice that driver sign-ups in India dropped 20% after a competitor launched in three major cities there. How would you analyze this and recommend a response strategy?

29.If we wanted to reduce Uber's global carbon footprint by 25% in two years, how would you estimate the engineering investment required and prioritize the technical initiatives?

30.Estimate the real-time computational load if every Uber driver globally needed to receive location updates from all other nearby drivers every second. How would you architect this differently?