Uber
Ride-hailing and delivery platform with massive real-time data challenges.
4 Rounds
~21 Days
Hard
The Interview Loop
Recruiter Screen (30 min)
Standard fit check, behavioral questions, and resume overview.
Technical Loop (3-4 Rounds)
Deep dive into domain knowledge, coding, and system design.
Interview Question Bank
Cloud Engineer
•
Behavioral
•
medium
Tell me about a time you had to push back on a software engineering team because their proposed architecture was not scalable or secure enough for a production cloud environment.
#Communication
#Conflict Resolution
#Security
#Collaboration
Cloud Engineer
•
Behavioral
•
medium
Describe a situation where a critical production system went down under your watch. How did you handle the incident and what was the post-mortem process?
#Incident Response
#Accountability
#Continuous Improvement
Cloud Engineer
•
Behavioral
•
medium
Uber's culture emphasizes 'Build with Heart'. Give an example of how you incorporated user empathy or developer experience into an infrastructure or tooling project.
#Developer Experience
#Empathy
#Productivity
Cloud Engineer
•
Coding
•
medium
Write a Python or Go script to parse a large access log file, identify the top 10 IP addresses with the highest 5xx error rates, and automatically block them using a cloud WAF API.
#Python
#Go
#Log Parsing
#API Integration
Cloud Engineer
•
Coding
•
medium
Given a list of server objects with their current CPU load and memory usage, write a load balancer function that distributes incoming requests to the least loaded server.
#Data Structures
#Load Balancing
#Optimization
Cloud Engineer
•
Coding
•
hard
Implement a rate limiter using a token bucket algorithm to prevent API abuse from a single client ID.
#Concurrency
#Rate Limiting
#System Design Implementation
Cloud Engineer
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System Design
•
hard
Design a multi-region, active-active deployment architecture for Uber's ride-matching service to ensure zero downtime during a regional cloud outage.
#High Availability
#Multi-region
#Disaster Recovery
#Cloud Architecture
Cloud Engineer
•
System Design
•
hard
Design an Infrastructure as Code (IaC) provisioning system using Terraform that allows hundreds of Uber engineering teams to deploy resources safely without state conflicts.
#Terraform
#CI/CD
#Infrastructure as Code
#Security
Cloud Engineer
•
System Design
•
hard
Design an observability and metrics pipeline capable of ingesting millions of data points per second from Uber's global fleet of microservices.
#Observability
#Distributed Systems
#Kafka
#Data Pipelines
Cloud Engineer
•
System Design
•
hard
Design a disaster recovery strategy for Uber's payment processing gateway, ensuring an RPO (Recovery Point Objective) of near zero and an RTO (Recovery Time Objective) of under 5 minutes.
#Disaster Recovery
#Databases
#Networking
#Payments
Cloud Engineer
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Technical
•
medium
Walk me through how you would troubleshoot a sudden spike in 502 Bad Gateway errors across a specific Kubernetes cluster handling UberEats orders.
#Kubernetes
#Troubleshooting
#Networking
#Observability
Cloud Engineer
•
Technical
•
hard
Explain the step-by-step process of migrating a legacy monolithic application to a containerized microservices architecture on Kubernetes with zero downtime.
#Migration
#Kubernetes
#Microservices
#Traffic Management
Cloud Engineer
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Technical
•
medium
How do you manage secrets, API keys, and sensitive configuration in a multi-cloud environment?
#Secret Management
#HashiCorp Vault
#IAM
#Compliance
Cloud Engineer
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Technical
•
medium
Walk me through the lifecycle of a Kubernetes Pod. What exactly happens from the moment 'kubectl apply' is executed to when the container is running?
#Kubernetes
#API Server
#Kubelet
#Container Runtime
Cloud Engineer
•
Technical
•
easy
Explain the differences between an Application Load Balancer (ALB) and a Network Load Balancer (NLB). When would you use each in Uber's infrastructure?
#Load Balancing
#OSI Model
#AWS/GCP
Difficulty Radar
Based on recent AI-sourced data.
Meet Your Interviewers
The "Standard" Interviewer
Senior EngineerFocuses on core competencies, system constraints, and clear communication.
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Think Out Loud
Always explain your thought process before writing code or drawing architecture.