Senior Java Developer — Microservices & Spring

About the role

We're looking for a Senior Java Developer to design, build, and maintain scalable backend systems using Java, Spring, and a microservices architecture. This is a hands-on engineering role: you'll own services end to end, from data modeling through deployment, while collaborating closely with cross-functional teams to deliver production-ready solutions.

Responsibilities

• Design, develop, and maintain backend services and APIs using Java and the Spring ecosystem (Spring Boot, Spring Cloud, Spring Data)
• Build and evolve microservices architecture, including service decomposition, inter-service communication, and API design
• Implement RESTful APIs and support integration with third-party systems and internal services
• Write clean, testable, production-quality code, including unit and integration tests
• Troubleshoot and resolve performance, scalability, and reliability issues across distributed services
• Support CI/CD pipelines and deployment processes for microservices
• Collaborate with cross-functional teams (frontend, QA, product) to deliver features end to end
• Contribute to technical documentation and best practices for the engineering team

Requirements

• Strong hands-on experience with Java in a production backend environment
• Solid experience with the Spring framework (Spring Boot, Spring MVC, Spring Data, Spring Cloud)
• Proven experience designing and building microservices architectures
• Strong SQL skills, including schema design, query optimization, and relational data modeling
• Experience with RESTful API design and development
• Understanding of distributed systems concepts (service communication, fault tolerance, scalability)
• Experience with version control (Git) and CI/CD workflows
• Strong problem-solving skills and ability to work independently on complex technical challenges
• Solid communication skills for collaborating with cross-functional and distributed teams

Qualifications

• Nice to have: Experience with containerization and orchestration (Docker, Kubernetes), experience with message queues or event-driven architecture (Kafka, RabbitMQ), familiarity with cloud platforms (AWS, Azure, or GCP), experience with NoSQL databases alongside SQL, familiarity with monitoring and observability tools (Prometheus, Grafana, ELK stack)