Design a Search for HRT
Last updated: December 31, 2025
Quick Overview
Design a scalable search system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
HRT
December 31, 20257
9
4,034 solved
Design a scalable search system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Software engineering fundamentals questions at HRT test your understanding of core CS concepts and their practical application. This Onsite question evaluates how you apply engineering principles to build maintainable, scalable software.
What the Interviewer Expects
- Apply engineering principles to a realistic design scenario
- Discuss trade-offs between different approaches with concrete examples
- Demonstrate understanding of testability, maintainability, and extensibility
- Connect theoretical concepts to production engineering practices
- Discuss how the approach scales with team and codebase size
Key Topics to Cover
How to Approach This
- Apply SOLID principles. Single Responsibility makes code testable, Open/Closed makes it extensible.
- Choose data structures based on access patterns, not familiarity.
- Prefer immutable data and message passing over shared mutable state for concurrency.
- Design APIs with RESTful conventions, versioning, meaningful errors, and pagination from day one.
Possible Follow-up Questions
- How would you document this for other engineers?
- How would you measure the performance of this component in production?
- What testing strategy would you use for this component?
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Core Design Principles
For the scalable search system at HRT, the core design principles that apply are Separation of Concerns, Scalability, and Failover.
- Separation of Concerns: This principle ensures ...
Architecture
The architecture for the HRT search system will be a Microservices Architecture with the following components:
- API Gateway: This will route incoming search requests to the appropriate mi...
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