A distributed recruitment platform built with a service-oriented architecture, subscription-based access control, and AI-powered utilities.
Designed to demonstrate real-world backend engineering: authentication, relational data modeling, event-driven workflows, payment verification, and containerized deployment.
JobVyn is a multi-service recruitment system where Recruiters post jobs and Candidates apply through a subscription model.
The architecture separates concerns into independent services communicating via REST and Kafka, simulating production-grade backend systems rather than a monolithic demo project.
Core focus areas:
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Clean service boundaries
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Secure role-based access
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Event-driven background processing
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Structured AI integration
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Cloud-ready deployment
- Node.js + Express
- PostgreSQL
- Kafka
- JWT Authentication
- Razorpay (Subscription Payments)
- Gemini API (AI Features)
- Docker
- AWS EC2
- Next.js
- TypeScript
- Tailwind CSS
- shadcn/ui
The system is divided into independent services:
- Auth Service — Handles authentication, JWT issuance, and role management.
- User Service — Manages profiles, subscriptions, and job applications.
- Job Service — Handles company creation and job lifecycle management.
- Payment Service — Verifies payments and activates time-based subscriptions.
- Utility Service — Processes asynchronous events and AI-powered features.
- Kafka Broker — Enables non-blocking background workflows (e.g., email notifications).
Each service is isolated, containerized, and environment-configured for deployment.
- Role-based authentication (Recruiter / Candidate)
- Subscription-gated job applications
- Company and job management workflows
- Duplicate application prevention
- Event-driven email notifications via Kafka
- AI-powered Resume Analysis (structured output)
- AI-based Career Guidance generation
- Dockerized multi-service deployment on AWS
- User authenticates and receives JWT.
- Recruiter posts jobs under a company.
- Candidate activates subscription via payment gateway.
- Applications trigger Kafka events.
- Utility service processes events asynchronously.
- AI endpoints provide resume scoring and recommendations.
- Clear separation of concerns
- Server-side validation of business rules
- Asynchronous processing for scalability
- Structured AI responses for predictable frontend rendering
- Production-oriented deployment strategy
Each service follows a layered structure: routes → controllers → business logic → database access.
Backend services complete
Kafka integration operational
AI features integrated
Dockerized and deployed on AWS EC2
Arun Kumar
Backend Engineer | Distributed Systems Focus