Distributed job board

The Job Board Platform is a distributed web application built with Java and Spring Boot microservices, orchestrated using Docker and Kubernetes. It showcases my ability to design and deploy scalable, production-grade systems with modern distributed systems practices.

The platform enables company management, job postings, and user reviews, all exposed through consistent REST APIs behind an API Gateway. Users can browse jobs, add reviews, and interact with company data in a reliable, predictable manner.

Microservices collaborate through Feign clients and RabbitMQ messaging. For example, deleting a company triggers cascading deletions of associated jobs and reviews, while updates to reviews automatically recalculate and persist company ratings.

The architecture emphasizes resilience, observability, and scalability. PostgreSQL provides relational data management, Redis supports caching, Zipkin enables distributed tracing, and Eureka handles service discovery. The system is deployed on a self-hosted Kubernetes cluster with built-in load balancing and scaling capabilities.

• Developed microservices in Java and Spring Boot for companies, jobs, and reviews
• Implemented API Gateway for unified access and routing across services
• Enabled inter-service communication with Feign clients and RabbitMQ
• Designed cascading operations to maintain consistency across microservices
• Integrated PostgreSQL for relational data storage and Redis for caching
• Implemented service discovery with Eureka and distributed tracing with Zipkin
• Containerized services with Docker and deployed on Kubernetes with load balancing
• Focused on resilience, scalability, and observability in system design