Senior Backend Engineer
Backend development patterns, API design, database optimization, and security practices.
Table of Contents
- Quick Start
- Tools Overview
- Backend Development Workflows
- Reference Documentation
- Common Patterns Quick Reference
Quick Start
bash# Generate API routes from OpenAPI spec python scripts/api_scaffolder.py openapi.yaml --framework express --output src/routes/ # Analyze database schema and generate migrations python scripts/database_migration_tool.py --connection postgres://localhost/mydb --analyze # Load test an API endpoint python scripts/api_load_tester.py https://api.example.com/users --concurrency 50 --duration 30
Tools Overview
1. API Scaffolder
Generates API route handlers, middleware, and OpenAPI specifications from schema definitions.
Input: OpenAPI spec (YAML/JSON) or database schema Output: Route handlers, validation middleware, TypeScript types
Usage:
bash# Generate Express routes from OpenAPI spec python scripts/api_scaffolder.py openapi.yaml --framework express --output src/routes/ # Output: # Generated 12 route handlers in src/routes/ # - GET /users (listUsers) # - POST /users (createUser) # - GET /users/{id} (getUser) # - PUT /users/{id} (updateUser) # - DELETE /users/{id} (deleteUser) # ... # Created validation middleware: src/middleware/validators.ts # Created TypeScript types: src/types/api.ts # Generate from database schema python scripts/api_scaffolder.py --from-db postgres://localhost/mydb --output src/routes/ # Generate OpenAPI spec from existing routes python scripts/api_scaffolder.py src/routes/ --generate-spec --output openapi.yaml
Supported Frameworks:
- Express.js (
--framework express) - Fastify (
--framework fastify) - Koa (
--framework koa)
2. Database Migration Tool
Analyzes database schemas, detects changes, and generates migration files with rollback support.
Input: Database connection string or schema files Output: Migration files, schema diff report, optimization suggestions
Usage:
bash# Analyze current schema and suggest optimizations python scripts/database_migration_tool.py --connection postgres://localhost/mydb --analyze # Output: # === Database Analysis Report === # Tables: 24 # Total rows: 1,247,832 # # MISSING INDEXES (5 found): # orders.user_id - 847ms avg query time, ADD INDEX recommended # products.category_id - 234ms avg query time, ADD INDEX recommended # # N+1 QUERY RISKS (3 found): # users -> orders relationship (no eager loading) # # SUGGESTED MIGRATIONS: # 1. Add index on orders(user_id) # 2. Add index on products(category_id) # 3. Add composite index on order_items(order_id, product_id) # Generate migration from schema diff python scripts/database_migration_tool.py --connection postgres://localhost/mydb \ --compare schema/v2.sql --output migrations/ # Output: # Generated migration: migrations/20240115_add_user_indexes.sql # Generated rollback: migrations/20240115_add_user_indexes_rollback.sql # Dry-run a migration python scripts/database_migration_tool.py --connection postgres://localhost/mydb \ --migrate migrations/20240115_add_user_indexes.sql --dry-run
3. API Load Tester
Performs HTTP load testing with configurable concurrency, measuring latency percentiles and throughput.
Input: API endpoint URL and test configuration Output: Performance report with latency distribution, error rates, throughput metrics
Usage:
bash# Basic load test python scripts/api_load_tester.py https://api.example.com/users --concurrency 50 --duration 30 # Output: # === Load Test Results === # Target: https://api.example.com/users # Duration: 30s | Concurrency: 50 # # THROUGHPUT: # Total requests: 15,247 # Requests/sec: 508.2 # Successful: 15,102 (99.0%) # Failed: 145 (1.0%) # # LATENCY (ms): # Min: 12 # Avg: 89 # P50: 67 # P95: 198 # P99: 423 # Max: 1,247 # # ERRORS: # Connection timeout: 89 # HTTP 503: 56 # # RECOMMENDATION: P99 latency (423ms) exceeds 200ms target. # Consider: connection pooling, query optimization, or horizontal scaling. # Test with custom headers and body python scripts/api_load_tester.py https://api.example.com/orders \ --method POST \ --header "Authorization: Bearer token123" \ --body '{"product_id": 1, "quantity": 2}' \ --concurrency 100 \ --duration 60 # Compare two endpoints python scripts/api_load_tester.py https://api.example.com/v1/users https://api.example.com/v2/users \ --compare --concurrency 50 --duration 30
Backend Development Workflows
API Design Workflow
Use when designing a new API or refactoring existing endpoints.
Step 1: Define resources and operations
yaml# openapi.yaml openapi: 3.0.3 info: title: User Service API version: 1.0.0 paths: /users: get: summary: List users parameters: - name: limit in: query schema: type: integer default: 20 post: summary: Create user requestBody: required: true content: application/json: schema: $ref: '#/components/schemas/CreateUser'
Step 2: Generate route scaffolding
bashpython scripts/api_scaffolder.py openapi.yaml --framework express --output src/routes/
Step 3: Implement business logic
typescript// src/routes/users.ts (generated, then customized) export const createUser = async (req: Request, res: Response) => { const { email, name } = req.body; // Add business logic const user = await userService.create({ email, name }); res.status(201).json(user); };
Step 4: Add validation middleware
bash# Validation is auto-generated from OpenAPI schema # src/middleware/validators.ts includes: # - Request body validation # - Query parameter validation # - Path parameter validation
Step 5: Generate updated OpenAPI spec
bashpython scripts/api_scaffolder.py src/routes/ --generate-spec --output openapi.yaml
Database Optimization Workflow
Use when queries are slow or database performance needs improvement.
Step 1: Analyze current performance
bashpython scripts/database_migration_tool.py --connection $DATABASE_URL --analyze
Step 2: Identify slow queries
sql-- Check query execution plans EXPLAIN ANALYZE SELECT * FROM orders WHERE user_id = 123 ORDER BY created_at DESC LIMIT 10; -- Look for: Seq Scan (bad), Index Scan (good)
Step 3: Generate index migrations
bashpython scripts/database_migration_tool.py --connection $DATABASE_URL \ --suggest-indexes --output migrations/
Step 4: Test migration (dry-run)
bashpython scripts/database_migration_tool.py --connection $DATABASE_URL \ --migrate migrations/add_indexes.sql --dry-run
Step 5: Apply and verify
bash# Apply migration python scripts/database_migration_tool.py --connection $DATABASE_URL \ --migrate migrations/add_indexes.sql # Verify improvement python scripts/database_migration_tool.py --connection $DATABASE_URL --analyze
Security Hardening Workflow
Use when preparing an API for production or after a security review.
Step 1: Review authentication setup
typescript// Verify JWT configuration const jwtConfig = { secret: process.env.JWT_SECRET, // Must be from env, never hardcoded expiresIn: '1h', // Short-lived tokens algorithm: 'RS256' // Prefer asymmetric };
Step 2: Add rate limiting
typescriptimport rateLimit from 'express-rate-limit'; const apiLimiter = rateLimit({ windowMs: 15 * 60 * 1000, // 15 minutes max: 100, // 100 requests per window standardHeaders: true, legacyHeaders: false, }); app.use('/api/', apiLimiter);
Step 3: Validate all inputs
typescriptimport { z } from 'zod'; const CreateUserSchema = z.object({ email: z.string().email().max(255), name: z.string().min(1).max(100), age: z.number().int().positive().optional() }); // Use in route handler const data = CreateUserSchema.parse(req.body);
Step 4: Load test with attack patterns
bash# Test rate limiting python scripts/api_load_tester.py https://api.example.com/login \ --concurrency 200 --duration 10 --expect-rate-limit # Test input validation python scripts/api_load_tester.py https://api.example.com/users \ --method POST \ --body '{"email": "not-an-email"}' \ --expect-status 400
Step 5: Review security headers
typescriptimport helmet from 'helmet'; app.use(helmet({ contentSecurityPolicy: true, crossOriginEmbedderPolicy: true, crossOriginOpenerPolicy: true, crossOriginResourcePolicy: true, hsts: { maxAge: 31536000, includeSubDomains: true }, }));
Reference Documentation
| File | Contains | Use When |
|---|---|---|
references/api_design_patterns.md | REST vs GraphQL, versioning, error handling, pagination | Designing new APIs |
references/database_optimization_guide.md | Indexing strategies, query optimization, N+1 solutions | Fixing slow queries |
references/backend_security_practices.md | OWASP Top 10, auth patterns, input validation | Security hardening |
Common Patterns Quick Reference
REST API Response Format
json{ "data": { "id": 1, "name": "John" }, "meta": { "requestId": "abc-123" } }
Error Response Format
json{ "error": { "code": "VALIDATION_ERROR", "message": "Invalid email format", "details": [{ "field": "email", "message": "must be valid email" }] }, "meta": { "requestId": "abc-123" } }
HTTP Status Codes
| Code | Use Case |
|---|---|
| 200 | Success (GET, PUT, PATCH) |
| 201 | Created (POST) |
| 204 | No Content (DELETE) |
| 400 | Validation error |
| 401 | Authentication required |
| 403 | Permission denied |
| 404 | Resource not found |
| 429 | Rate limit exceeded |
| 500 | Internal server error |
Database Index Strategy
sql-- Single column (equality lookups) CREATE INDEX idx_users_email ON users(email); -- Composite (multi-column queries) CREATE INDEX idx_orders_user_status ON orders(user_id, status); -- Partial (filtered queries) CREATE INDEX idx_orders_active ON orders(created_at) WHERE status = 'active'; -- Covering (avoid table lookup) CREATE INDEX idx_users_email_name ON users(email) INCLUDE (name);
Common Commands
bash# API Development python scripts/api_scaffolder.py openapi.yaml --framework express python scripts/api_scaffolder.py src/routes/ --generate-spec # Database Operations python scripts/database_migration_tool.py --connection $DATABASE_URL --analyze python scripts/database_migration_tool.py --connection $DATABASE_URL --migrate file.sql # Performance Testing python scripts/api_load_tester.py https://api.example.com/endpoint --concurrency 50 python scripts/api_load_tester.py https://api.example.com/endpoint --compare baseline.json

