Backend Developer Interview Questions

1.1Client-Server Model and Request-Response Cycle

1.2RESTful API Design Principles

1.3Monolithic vs Microservices Architecture

1.4Layered Architecture and Separation of Concerns

2.1Database Normalization and Schema Design

2.2SQL Query Optimization and Indexing Strategies

2.3ACID Properties and Transaction Management

2.4Joins, Aggregations, and Complex Query Patterns

3.1MongoDB and Document-Oriented Databases

3.2Redis Caching and In-Memory Data Structures

3.3Selecting Between SQL and NoSQL Solutions

3.4Data Consistency Models and Eventual Consistency

4.1Express.js and Node.js Server Fundamentals

4.2Routing, Middleware, and Request Pipeline

4.3Authentication and Authorization Patterns

4.4Error Handling, Validation, and API Documentation

5.1Promises, Async/Await, and Callback Patterns

5.2Event-Driven Architecture and Message Queues

5.3Connection Pooling and Resource Management

5.4Horizontal Scaling and Load Balancing

6.1OWASP Top 10 Vulnerabilities and Prevention

6.2Password Storage, Hashing, and Encryption Techniques

6.3SSL/TLS, HTTPS, and Secure Communication

6.4API Security: Rate Limiting, CORS, and Input Validation

7.1Unit Testing and Test-Driven Development

7.2Integration Testing and End-to-End Testing

7.3Debugging Techniques and Performance Profiling

7.4Code Review Standards and Refactoring Patterns

8.1Docker Containerization and Container Orchestration

8.2CI/CD Pipelines and Automated Deployment

8.3Logging, Monitoring, and Alerting Systems

8.4Cloud Platforms and Infrastructure as Code

9.1Caching Layers and Cache Invalidation Strategies

9.2Database Sharding, Replication, and High Availability

9.3System Design Trade-offs and Bottleneck Analysis

9.4Distributed Systems Challenges and Consensus Algorithms

10.1Technical Problem-Solving and System Debugging Scenarios

10.2Cross-Team Collaboration and Communication

10.3Handling Production Incidents and Post-Mortems

10.4Career Growth, Learning Mindset, and Technical Leadership