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Design, build, and maintain RESTful or GraphQL APIs for production systems
Architect database schemas (relational and document stores)
Implement business logic, authentication, and authorization systems
Build microservices communicating via message queues (RabbitMQ, Kafka)
Optimize API performance: caching strategy (Redis), query optimization, connection pooling
Handle third-party integrations: payment gateways, SMS, email, external APIs
Write unit and integration tests; maintain meaningful code coverage
Pick one stack deeply: Node.js (NestJS/Express) or Python (FastAPI/Django) or Go or Java
SQL databases: PostgreSQL (primary), MySQL; complex queries, indexing, transactions
NoSQL: MongoDB or Redis as caching layer โ both commonly required
Authentication: JWT, OAuth 2.0, session management, API key rotation
Message queues: RabbitMQ or Kafka for async processing
Docker: containerize applications; understand multi-stage production builds
REST API design: CRUD operations, pagination, versioning, rate limiting best practices
Primary backend framework
Primary database + caching layer
Containerization and local dev
API testing and documentation
CI/CD pipeline
API documentation generation
Async message processing
Cloud deployment environment
ACID properties and database transactions โ must explain with examples
CAP theorem and eventual consistency in distributed databases
OAuth 2.0 flows: authorization code, client credentials, refresh token rotation
REST constraints: statelessness, idempotency, HTTP method semantics and status codes
Indexing strategies: B-tree, hash, composite; when each helps or hurts performance
Pick a stack: Node.js + Express or Python + FastAPI (both excellent entry points)
Build 5 REST APIs: User CRUD, Product catalog, Blog API, Auth API, File upload API
PostgreSQL: design schemas, write complex JOINs, add indexes; use pgAdmin
Docker: containerize all 5 APIs with Docker Compose including database
Authentication: JWT + refresh token rotation + OAuth with Google login
Redis: add caching to your APIs; cache user profiles and expensive query results
Message queue: RabbitMQ or Kafka; build an async email notification service
NestJS or FastAPI advanced: dependency injection, guards, interceptors, middleware
System design: design Twitter, Pastebin, URL shortener (LeetCode Discuss, Grokking)
GraphQL: build a GraphQL API for one existing project; understand resolvers and N+1
Deploy on AWS: EC2 + RDS + ElastiCache + ALB; add GitHub Actions pipeline
Apply for Backend Intern / Junior Backend roles at product-focused startups
Go language: learn for high-performance services (growing demand at scale companies)
gRPC: implement one service-to-service communication with Protocol Buffers
Read Designing Data-Intensive Applications (Kleppmann) โ mandatory book for any senior
Target Senior Backend Engineer at โน18L+ in Year 2
| Level | India | Global | Note |
|---|---|---|---|
| Junior / 0โ2 yr | โน4L โ โน9L | $40K โ $75K | Node.js/Python API development |
| Mid-level / 3โ5 yr | โน9L โ โน20L | $75K โ $115K | System design + microservices |
| Senior / 5+ yr | โน20L โ โน28L | $115K โ $150K | Tech Lead or Principal Engineer |
Products, carts, orders, payments
WebSocket + Redis pub/sub + persistence
High-write system with caching
3 services + Kafka + API gateway
AWS ยท Paid (~$150)
Adds cloud credibility to backend profile
ByteByteGo ยท Paid (~$79)
Interview separator for โน15L+ roles
OReilly ยท Paid (~$40)
Mandatory reading for any senior backend dev
Very high remote potential. Backend development is one of the top globally remote-friendly engineering roles. Strong GitHub portfolio + deployed APIs + system design knowledge = direct path.
High demand. API development, third-party integrations, database design and optimization.
Tutorial hell โ watching Node.js for 3 months without deploying a real API
Skipping system design preparation โ mid-level product company interviews all require it
Not writing tests โ companies filter out candidates without testing discipline
Stable, always in demand. Go and Rust growing for performance-critical backend services. System Design knowledge is the primary separator between โน8L and โน25L+ engineers in India.
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