BACKEND ROADMAP 2026

AI & DevOps로 완성하는 차세대 백엔드 개발자 커리큘럼

01. CORE PHASE

Professional Backend Developer

Language & Runtime

  • Java / Spring Boot (Deep Dive)
  • Go / Python (Concurrency & Performance)
  • Node.js / TypeScript

Data Architecture

  • Relational DB (PostgreSQL, MySQL)
  • NoSQL (MongoDB, Redis, Cassandra)
  • Query Optimization & Data Modeling

System Design

  • Microservices Architecture (MSA)
  • RESTful, GraphQL, gRPC APIs
  • Message Queues (Kafka, RabbitMQ)
02. NEXT STEP

AI-Integrated Backend

LLM Integration

  • OpenAI / Anthropic API Mastery
  • LangChain & LlamaIndex Frameworks
  • Function Calling & Tool Use

RAG System

  • Vector Databases (Pinecone, Weaviate)
  • Embedding Models & Retrieval Tuning
  • AI Data Pipelines
03. INFRASTRUCTURE

Cloud & DevOps

Containerization

  • Docker & Container Orchestration
  • Kubernetes (K8s) Core Concepts
  • Helm & Service Mesh

Automation (CI/CD)

  • GitHub Actions / Jenkins Pipelines
  • Infrastructure as Code (Terraform)
  • Monitoring (Prometheus, Grafana)