Backend Team
Creating robust, scalable server-side solutions and APIs
Expertise
- •RESTful & GraphQL API Development
- •Microservices Architecture
- •Authentication & Authorization
- •API Security & Rate Limiting
- •Server Performance Tuning
- •Third-Party Integrations
Technologies
Our Process
Requirements Analysis
Understanding business logic and technical requirements
- →Analyze functional and non-functional requirements
- →Define API endpoints and data models
- →Identify third-party services and integrations
- →Plan database schema and relationships
- →Establish performance and scalability requirements
API Design & Documentation
Designing RESTful APIs with clear documentation
- →Design API endpoints following REST principles
- →Define request/response schemas and data structures
- →Document APIs using OpenAPI/Swagger specifications
- →Establish versioning strategy for APIs
- →Create API documentation for frontend team
Database Design
Designing efficient database schema and relationships
- →Design normalized database schema
- →Define table relationships and constraints
- →Plan indexing strategy for query optimization
- →Set up database migrations and version control
- →Implement database seeding for development
Implementation & Development
Building API endpoints and business logic
- →Implement authentication and authorization middleware
- →Build CRUD operations for data entities
- →Create business logic and validation rules
- →Implement error handling and logging
- →Write unit and integration tests
Security & Performance
Implementing security best practices and optimization
- →Implement rate limiting and request throttling
- →Secure APIs with JWT tokens and encryption
- →Validate and sanitize user inputs
- →Implement caching strategies (Redis)
- →Optimize database queries and indexing
Deployment & Monitoring
Deploying to production and ongoing monitoring
- →Set up CI/CD pipeline for automated deployments
- →Configure production environment and variables
- →Implement logging and error tracking (Sentry)
- →Set up performance monitoring and alerts
- →Document deployment procedures and runbooks
At least two team members have reviewed and approved the code changes
Code follows team coding standards, style guide, and best practices
ESLint/Prettier passes with zero errors and warnings
Complex logic is well-documented with clear comments and JSDoc
All console.log statements and debug code removed from production
Minimum 80% code coverage with meaningful unit tests
All integration tests pass successfully in CI/CD pipeline
Feature tested manually across different scenarios and edge cases
Verified functionality in Chrome, Firefox, Safari, and Edge
Tested on mobile devices (iOS/Android) and tablets
Existing features still work correctly after changes
All user inputs are validated and sanitized to prevent injection attacks
Proper authentication and authorization checks implemented
No API keys, passwords, or sensitive data exposed in code
All API calls use HTTPS and secure communication protocols
No critical or high-severity vulnerabilities in dependencies
Proper CORS and Content Security Policy configured
Page load time, API response time meet performance targets
Images optimized and compressed, using appropriate formats (WebP, AVIF)
Large components and routes are code-split and lazy-loaded
Database queries optimized with proper indexes and efficient joins
Appropriate caching (Redis, CDN) for static and dynamic content
JavaScript bundle size within acceptable limits (< 200KB gzipped)
Meets WCAG 2.1 Level AA accessibility standards
All interactive elements accessible via keyboard navigation
Tested with screen readers (NVDA, JAWS, VoiceOver)
Text and interactive elements meet minimum contrast ratios (4.5:1)
Proper ARIA labels and semantic HTML elements used
Clear focus indicators for all interactive elements
README.md includes setup instructions, dependencies, and usage
API endpoints documented with request/response examples
CHANGELOG.md updated with new features, fixes, and breaking changes
All required environment variables documented in .env.example
Deployment procedures documented for production release
Database migration scripts created and tested
Database backup completed before deployment
Rollback procedure documented and tested
Data validation and integrity checks implemented
All automated tests passing in CI/CD pipeline
Feature deployed and tested in staging environment
All production environment variables configured correctly
Error tracking and performance monitoring set up
Release notes prepared for stakeholder communication
Plan for verifying production deployment is successful