Uber Staff Software Engineer Interview Questions

1.Walk me through a time when you had to ship a feature quickly due to business pressure, but couldn't compromise on safety or reliability. How did you balance speed with quality?

2.Describe a time when you had to push your team to move faster on a critical project while ensuring code quality didn't suffer. What tactics did you use?

3.Tell me about a system you've built that needed to handle millions of requests across multiple regions or countries. What were the biggest challenges and how did you solve them?

4.Tell me about a time when external factors forced you to completely change your technical approach mid-project. What changed, how quickly did you pivot, and what was the outcome?

5.Describe a time when you used data to challenge a widely held assumption or change the direction of a project. What was the data telling you and how did you convince others?

6.Walk me through the most complex distributed system you've designed. How did you ensure it could scale to handle 10x growth while maintaining sub-second response times?

7.Our real-time pricing algorithm is creating surge predictions, but drivers in certain neighborhoods are consistently seeing different surge values than what riders see. How would you debug this geolocation-based data inconsistency?

8.Code a function that takes a list of driver locations and rider pickup requests, then returns optimal driver-rider matches to minimize overall wait time. Assume you have lat/lng coordinates and need to handle 10,000+ requests per second.

9.You need to implement a feature flag system that can toggle features for millions of drivers across 70+ countries with sub-100ms latency. Walk me through your architecture approach.

10.Design a system to detect and prevent fraudulent driver sign-ups in real-time during account creation, considering that legitimate drivers need to start earning quickly. What's your approach?

11.Our Kafka cluster handling driver location updates is experiencing message lag during peak hours, causing stale location data in our matching service. How would you investigate and resolve this bottleneck?

12.Design the data architecture for a new global feature that needs to provide restaurant availability and delivery ETAs across all Uber Eats markets, considering varying data sources, compliance requirements, and 99.9% uptime SLA.

13.Design a system that routes Uber Eats delivery partners to pickup locations while dynamically balancing restaurant wait times and delivery ETAs. The system needs to handle 50,000 concurrent orders across a major metropolitan area.

14.We're launching Uber Rides in a new country where internet connectivity is unreliable. Design a system that allows drivers and riders to complete trips even with intermittent network access, then sync data when connectivity returns.

15.Design the experimentation platform that powers A/B testing for all of Uber's products. It needs to support feature rollouts across rider apps, driver apps, and restaurant partner dashboards while preventing cross-experiment contamination.

16.You're tasked with building the incident response system for Uber's global operations. Design a platform that can automatically detect, escalate, and coordinate responses to issues affecting rider safety, driver availability, or payment processing across 70+ countries.

17.Design a real-time pricing engine for Uber Freight that dynamically adjusts rates based on supply-demand, route difficulty, driver preferences, and shipper urgency. The system needs to process 100,000+ pricing requests per minute while ensuring both carriers and shippers see fair, consistent rates.

18.We're integrating autonomous vehicles into the Uber Rides platform. Design a system that seamlessly transitions between human drivers and self-driving cars for the same trip, including safety monitoring, passenger communication, and regulatory compliance reporting.

19.Tell me about a time when you had to influence a senior engineering leader or director to change their mind on a technical decision. What was your approach and what was the outcome?

20.Describe a time when you noticed your team was repeatedly making the same type of mistake or producing inconsistent quality. How did you address it?

21.Tell me about a time when you had to make a decision between optimizing for the rider experience versus the driver experience. How did you approach this tradeoff?

22.Walk me through a time when you disagreed with your manager's technical direction but decided to implement their approach anyway. How did you handle it and what was the outcome?

23.Describe a time when you had to rally multiple engineering teams around a technical solution that required them to change how they worked. What was your strategy and how did you measure success?

24.Tell me about a time when you had to choose between shipping a feature that would delight users but create operational burden for your team, versus a more maintainable solution with less user impact. How did you make that decision?

25.Our platform shows 15 million trips per day globally, but I want you to estimate how many concurrent driver location updates our system processes during peak hours. Walk me through your calculation.

26.Restaurant partners are reporting that Uber Eats orders spike 300% during major sporting events, but our delivery partner supply only increases 50%. How would you estimate the revenue impact of these supply-demand mismatches?

27.Uber Eats delivery times in downtown Chicago increased by 12% last month, but restaurant prep times stayed flat and we didn't change our routing algorithm. How would you investigate what's causing longer deliveries?

28.Our machine learning model that predicts rider demand is consistently over-forecasting by 20% in suburban areas during weekday mornings. Walk me through how you'd diagnose and fix this bias.

29.We're planning to launch Uber Freight in Southeast Asia where trucking is heavily relationship-based and digital adoption is low. Estimate the engineering investment needed to achieve 10% market penetration in the first year.

30.Uber operates in cities where internet connectivity can drop to 2G speeds during peak hours. Estimate the additional infrastructure cost if we wanted to enable full ride booking and navigation in offline mode.