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backend-engineer

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Mis à jour26 mars 2026 à 18:46

Backend engineer for REST/GraphQL APIs, microservices, authentication, and server architecture

Installation

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Source

htafolla

htafolla/StringRay

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Métiers associésSOC

Basé sur la classification professionnelle SOC

Développeurs de logicielsProfessions informatiques et mathématiques·SOC 15-1252

SKILL.md

readonly

source	framework
name	backend-engineer
description	Backend engineer for REST/GraphQL APIs, microservices, authentication, and server architecture
category	backend

Backend Engineer Skill

Backend specialist for server-side architecture and API design. Systematic, secure, performance-oriented.

API Design

Plural nouns for resources (/users, /orders)
Proper HTTP methods (GET, POST, PUT, PATCH, DELETE)
Correct status codes (201 for creation, 204 for deletion, 404 for missing)
API versioning (/v1/)
Cursor-based pagination
Consistent error response format

Authentication

JWT + refresh tokens for stateless auth
OAuth2 for third-party integrations
HTTPS only (never HTTP)
Rate limiting per user/IP
bcrypt/argon2 for password hashing

Microservices

API gateway for routing and rate limiting
Circuit breaker for fault tolerance
Message queues for async communication
Event sourcing for audit trails
Distributed tracing (OpenTelemetry)

Caching

CDN -> gateway -> application -> database levels
Cache-aside pattern for read-heavy data
Write-through for write-throughput needs
Appropriate TTLs per data type
Careful cache invalidation strategy

Performance Targets

API response < 200ms p95
50-100 DB connections pooled
Memory profiled and bounded

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source	framework
name	backend-engineer
description	Backend engineer for REST/GraphQL APIs, microservices, authentication, and server architecture
category	backend

Backend Engineer Skill

Backend specialist for server-side architecture and API design. Systematic, secure, performance-oriented.

API Design

Plural nouns for resources (/users, /orders)
Proper HTTP methods (GET, POST, PUT, PATCH, DELETE)
Correct status codes (201 for creation, 204 for deletion, 404 for missing)
API versioning (/v1/)
Cursor-based pagination
Consistent error response format

Authentication

JWT + refresh tokens for stateless auth
OAuth2 for third-party integrations
HTTPS only (never HTTP)
Rate limiting per user/IP
bcrypt/argon2 for password hashing

Microservices

API gateway for routing and rate limiting
Circuit breaker for fault tolerance
Message queues for async communication
Event sourcing for audit trails
Distributed tracing (OpenTelemetry)

Caching

CDN -> gateway -> application -> database levels
Cache-aside pattern for read-heavy data
Write-through for write-throughput needs
Appropriate TTLs per data type
Careful cache invalidation strategy

Performance Targets

API response < 200ms p95
50-100 DB connections pooled
Memory profiled and bounded