Master backend interview questions with AI-generated practice. Prepare for API design, databases, system design, data structures, algorithms, and coding rounds at top tech companies.
Backend interview questions assess your ability to build server-side applications, design APIs, work with databases, and architect scalable systems. These interviews test your understanding of data structures, algorithms, system design, and software engineering principles. Whether you're preparing for junior or senior backend engineer roles at FAANG companies, comprehensive practice is essential.
Typical backend interview rounds:
Design clean, scalable APIs that developers love to use.
Design efficient schemas and write optimized queries.
Architect systems that scale to millions of users.
Solve coding problems efficiently with optimal solutions.
In a distributed system, you can only guarantee two of three: Consistency, Availability, Partition tolerance.
Reduce database load and improve response times with proper caching.
Decouple services and handle async processing with message queues.
Secure your APIs with proper authentication and authorization.
JavaScript runtime. Express, NestJS, Fastify frameworks.
Great for: APIs, real-time apps, microservices
Django, Flask, FastAPI frameworks.
Great for: APIs, ML integration, rapid prototyping
Spring Boot, Quarkus frameworks.
Great for: Enterprise, high-performance systems
Gin, Echo, Fiber frameworks.
Great for: High-performance, concurrent systems
Actix, Axum, Rocket frameworks.
Great for: Performance-critical, systems programming
Ruby on Rails framework.
Great for: Rapid development, startups
Heavy on algorithms and system design. Expect to optimize solutions. 4-5 coding rounds.
Leadership principles + coding. System design for senior roles. Scalability focus.
Fast-paced coding rounds. System design with focus on scale. Product sense questions.
Balanced approach: coding, system design, and behavioral. Strong collaboration focus.
API design focus. Build real features during interviews. Code quality matters.
Distributed systems focus. Real-time systems, geospatial problems, high throughput.
Review arrays, strings, hash maps, trees, graphs. Solve 30-50 LeetCode medium problems. Focus on patterns (two pointers, sliding window, BFS/DFS).
Master SQL queries, indexing, normalization. Study RESTful API design principles. Practice designing schemas for common applications.
Study distributed systems fundamentals. Practice designing URL shortener, chat app, notification system. Understand trade-offs deeply.
Do timed mock interviews for coding and system design. Prepare STAR stories for behavioral rounds. Review weak areas identified in mocks.
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