Interview Questions

Top Backend Developer Interview Questions & Answers

17 min readUpdated April 10, 2025
backendAPI designdatabases
Backend developer interviews focus on your ability to build reliable, scalable server-side systems. You'll be tested on API design, database modeling, authentication, concurrency, and architectural patterns. This guide covers the most commonly asked backend interview questions with answers that demonstrate production-grade thinking — not just textbook knowledge.

API Design & REST

API design questions test whether you can build interfaces that are intuitive, consistent, and scalable. REST API best practices to know: • Use nouns for resources, HTTP verbs for actions • Consistent naming (plural nouns: /users, /orders) • Proper status codes (201 Created, 404 Not Found, 422 Unprocessable) • Pagination, filtering, and sorting patterns • Versioning strategies (URL path vs. header)

Q1.What are the differences between REST and GraphQL? When would you choose each?

intermediate
REST: • Fixed endpoints, each returning a predefined data shape • Simple to cache (HTTP caching works natively) • Multiple round trips for complex data needs GraphQL: • Single endpoint, client specifies exact data needed • Eliminates over-fetching and under-fetching • Harder to cache, more complex server implementation Choose REST when: • Simple CRUD operations • Caching is critical (CDN-friendly) • Team is small and doesn't want schema maintenance overhead Choose GraphQL when: • Frontend needs vary significantly across clients (mobile, web, embedded) • Complex nested data relationships • Reducing network round trips matters (slow connections) Hybrid approach: Many companies use REST for simple services and GraphQL as a BFF (Backend for Frontend) aggregation layer.

Database Design

Database questions test your ability to model data, write efficient queries, and choose appropriate storage systems.

Q2.Explain database indexing. When should you add an index, and when shouldn't you?

intermediate
What an index does: Creates a separate data structure (usually a B-tree) that allows the database to find rows without scanning the entire table. Like a book's index — look up a term and jump directly to the right page. When to add an index: • Columns frequently used in WHERE clauses • Columns used in JOIN conditions • Columns used in ORDER BY or GROUP BY • Foreign key columns When NOT to index: • Small tables (full scan is fast enough) • Columns with very low cardinality (e.g., boolean — only 2 values) • Tables with heavy write workloads (each insert/update must also update the index) • Columns rarely queried Types of indexes: • B-tree — Default, good for range queries and equality • Hash — Faster for exact equality, no range support • GiST/GIN — For full-text search, geometric data (PostgreSQL) • Composite — Multi-column index, column order matters

Authentication & Security

Security questions are increasingly common in backend interviews.

Q3.Explain the difference between authentication and authorization. How would you implement both?

intermediate
Authentication = "Who are you?" (identity verification) Authorization = "What can you do?" (permission checking) Common authentication approaches: 1. Session-based — Server stores session state; client sends session cookie. Simple but doesn't scale horizontally without shared session store (Redis). 2. JWT (JSON Web Token) — Stateless token containing user claims. Server validates signature without database lookup. Scales horizontally but can't be revoked easily (use short expiry + refresh tokens). 3. OAuth 2.0 / OIDC — Delegated authentication via a provider (Google, GitHub). Use for "Sign in with X" flows. Authorization patterns: • RBAC (Role-Based) — Users have roles; roles have permissions. Simple and sufficient for most apps. • ABAC (Attribute-Based) — Policies based on user attributes, resource attributes, and context. More flexible but more complex. Security essentials: • Hash passwords with bcrypt (never store plaintext) • Use HTTPS everywhere • Implement rate limiting on auth endpoints • CSRF protection for cookie-based auth

Frequently Asked Questions

What programming languages are best for backend development?+

The most in-demand: Python (Django/FastAPI), JavaScript/TypeScript (Node.js), Java (Spring Boot), Go (high-performance services), and Rust (systems programming). Choose based on the role — startups often prefer Python/Node; enterprises lean toward Java/Go.

How deep should I understand databases for backend interviews?+

You should understand indexing, normalization, transactions (ACID), query optimization, and the tradeoffs between SQL and NoSQL. For senior roles, also know replication, sharding, and connection pooling.

Are microservices always better than monoliths?+

No — microservices add significant operational complexity (networking, deployment, debugging). Start with a well-structured monolith and extract services only when specific scalability, team, or deployment needs demand it. Many successful companies run monoliths at scale.

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