Uber Senior Software Engineer Interview Questions

1.Describe a system you built that needed to handle traffic or data volumes that were orders of magnitude larger than what you'd worked with before. How did you approach the scalability challenge?

2.Tell me about a time you had to quickly prototype and ship an MVP to test a hypothesis or capture a time-sensitive opportunity. How did you balance speed with building something maintainable?

3.Walk me through a recent situation where you had to ship something quickly under tight deadline pressure. How did you ensure quality and safety weren't compromised?

4.Describe a time when you used data to make a critical engineering or product decision that went against conventional wisdom or initial assumptions. What data did you analyze and how did it change your approach?

5.Tell me about a time you had to design or build a system that needed to handle massive scale across multiple regions or countries. What specific challenges did you encounter and how did you solve them?

6.Tell me about a time when external factors forced you to completely change your technical approach mid-project. What happened and how did you pivot?

7.You're working on the real-time matching system that connects riders with drivers. Suddenly, match rates drop 30% in a major city during rush hour. Walk me through how you'd diagnose this.

8.Implement an algorithm to efficiently match drivers with ride requests in real-time, considering factors like distance, estimated arrival time, and driver ratings. Code the core matching logic.

9.We want to add a feature where Uber Eats restaurants can set dynamic pricing based on demand, similar to surge pricing for rides. How would you design the backend system for this?

10.You need to implement a feature flag system that can instantly roll out or roll back features across Uber's global fleet without redeploying services. What's your approach?

11.Design a monitoring and alerting system for Uber's payment processing pipeline that handles millions of transactions daily across different currencies and payment methods. Focus on the architecture.

12.Code a solution to optimize Uber Eats delivery routes when one driver picks up orders from multiple restaurants for different customers. Handle the constraint that hot food quality degrades over time.

13.You need to build a dead letter queue system for Uber Freight that handles failed shipment tracking events. The system processes millions of logistics events daily, and some failures need immediate retry while others should be delayed or sent to manual review.

14.We want to build a service that automatically detects when Uber for Business corporate accounts have unusual expense patterns that might indicate fraud or policy violations. How would you design this detection system?

15.Design the surge pricing calculation engine that determines multipliers for Uber Rides across all cities in real-time. The system needs to handle millions of pricing updates per minute and ensure drivers see consistent pricing within seconds of changes.

16.Design the background check service for Uber's driver onboarding that needs to integrate with dozens of different government databases across multiple countries, each with different APIs, response times, and availability patterns.

17.We're launching Uber Eats in a new country where internet connectivity is unreliable and many users have older Android phones with limited storage. How would you modify the delivery tracking system to work well in this environment?

18.Design the location data pipeline that ingests GPS coordinates from millions of Uber drivers globally and makes this data available for real-time matching, demand forecasting, and safety features like route deviation alerts.

19.Tell me about a time you had to influence a senior engineer or tech lead from another team to prioritize work that was critical for your system but not directly beneficial to theirs.

20.Tell me about a time you had to lead an engineering response to a production incident that was affecting riders or drivers across multiple cities or countries.

21.Describe a time when you had to lead a technical decision that impacted user safety but wasn't the fastest or easiest solution to implement.

22.Tell me about a time you led an engineering effort to improve an experience for drivers or restaurant partners, not just riders or eaters.

23.Walk me through a situation where you had to lead your team through a major technical migration or architectural change while maintaining system reliability for millions of users.

24.Describe a time when you had to convince leadership to invest engineering resources in infrastructure work that had no immediate user-facing features but was critical for future growth.

25.Estimate how many driver-partners Uber would need to onboard in India to maintain our 3-minute average wait time if we expanded to 50 new tier-2 cities. Walk me through your calculation.

26.Our Uber Eats order completion rate dropped from 94% to 89% over two weeks, but delivery partner ratings stayed constant. No major tech changes shipped. How would you investigate this?

27.We're considering adding a 'carpool with strangers' feature where multiple riders who don't know each other share rides to similar destinations. What are the key risks and how would you evaluate if this is worth building?

28.Estimate the annual server costs for running Uber's real-time ETA predictions globally, assuming we recalculate ETAs for every active trip every 30 seconds. Break down your assumptions about compute and data requirements.

29.Uber Freight wants to predict which truck drivers are likely to accept a load offer before we send it to them, to reduce wasted marketplace liquidity. How would you approach building this prediction model and measuring its business impact?

30.If Uber decided to launch a subscription service where riders pay $30/month for discounted rides, how would you estimate the break-even subscriber count needed in the US market? What assumptions drive your model?