Q1
Design a distributed system that handles 1 million requests per second with sub-100ms latency requirements. Walk us through your architecture decisions, including caching strategies, database choices, and load balancing approaches.
Why they ask this:* Evaluates your ability to architect scalable systems, understand trade-offs between consistency and availability, and make informed technology decisions at enterprise scale.
Q2
Explain your approach to optimizing a legacy monolithic application that has become a performance bottleneck. What tools would you use to identify issues, and how would you decide between refactoring, modularization, or microservices migration?
Why they ask this:* Tests your practical experience with performance analysis, code quality assessment, and strategic decision-making on critical infrastructure improvements that impact business outcomes.
Q3
Walk us through how you would implement and maintain a robust CI/CD pipeline for a team of 20+ engineers deploying to production 50+ times daily. What tools, practices, and safeguards would you include?
Why they ask this:* Assesses your DevOps maturity, understanding of deployment automation, risk mitigation strategies, and ability to scale engineering processes without sacrificing reliability.
Q4
Describe your experience with database optimization at scale. How would you approach partitioning, indexing, and query optimization for a system with petabyte-scale data, and when would you choose NoSQL over relational databases?