System Architecture - Conceptual

Architecture Overview

RoleFerry's system architecture is built on a modern, scalable, cloud-native foundation designed to handle enterprise-level workloads while maintaining high performance and reliability.

🏗️ System Architecture Layers

Presentation Layer

React/Next.js frontend with responsive design and real-time updates

API Gateway Layer

Authentication, rate limiting, request routing, and load balancing

Microservices Layer

Domain-specific services for recruitment, AI processing, and integrations

AI/ML Processing Layer

Machine learning models for matching, analysis, and content generation

Data Layer

PostgreSQL for structured data, Redis for caching, S3 for file storage

External Integrations

Third-party APIs for email verification, job boards, and CRM systems

🔄 Data Flow Architecture

graph TB subgraph "User Interface" A[Job Seeker/Recruiter] B[10-Tab Workflow] end subgraph "AI Processing Engine" C[Resume Analysis] D[Job Description Parsing] E[Pain Point Matching] F[Email Generation] end subgraph "Data Storage" G[User Profiles] H[Job Database] I[Match Results] end subgraph "External Services" J[Email Verification] K[Email Delivery] L[CRM Integration] end A --> B B --> C B --> D C --> E D --> E E --> F F --> J F --> K F --> L C --> G D --> H E --> I

Core Components

                Frontend Architecture
                React 18: Modern React with concurrent features
Next.js 14: Full-stack framework with App Router
TypeScript: Type-safe development
Tailwind CSS: Utility-first styling
State Management: Zustand for global state

            

                Backend Architecture
                FastAPI: High-performance Python web framework
Microservices: Domain-driven service architecture
PostgreSQL: Primary database with ACID compliance
Redis: Caching and session management
Celery: Asynchronous task processing

            

                AI/ML Infrastructure
                OpenAI GPT-4: Natural language processing
Custom Models: Specialized recruitment algorithms
Vector Databases: Pinecone for semantic search
Model Serving: TensorFlow Serving for inference
Data Pipeline: Apache Airflow for ML workflows

            

Scalability Patterns

RoleFerry is designed with horizontal scalability in mind, using modern cloud-native patterns:

Containerization: Docker containers for consistent deployment
Orchestration: Kubernetes for container management
Auto-scaling: Dynamic scaling based on demand
Load Balancing: Distributed traffic management
Caching Strategy: Multi-layer caching for performance
Database Sharding: Horizontal data partitioning

Security Architecture

Enterprise-grade security built into every layer:

Authentication: OAuth 2.0 / OpenID Connect
Authorization: Role-based access control (RBAC)
Data Encryption: AES-256 for data at rest, TLS 1.3 for transit
API Security: Rate limiting, input validation, CORS
Audit Logging: Comprehensive activity tracking
Compliance: GDPR, SOC 2, and industry standards

Integration Architecture

Seamless integration with existing enterprise systems:

REST APIs: Standardized API endpoints
GraphQL: Flexible data querying
Webhooks: Real-time event notifications
SSO Integration: SAML, LDAP, Active Directory
CRM Integration: Salesforce, HubSpot, Pipedrive
ATS Integration: Workday, BambooHR, Greenhouse