Backend Java Developer (Java, Springboot, Microservices)

Your Role

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

We are looking for an experienced Backend Java Developer to design, develop, and maintain scalable, secure, and high-performance backend systems. You will work on microservices architecture, RESTful APIs, and cloud-native solutions, collaborating with cross-functional teams to deliver enterprise-grade applications.

In This Role, You Will:

4 to 8 Years experience in Design and develop backend services using Java (8+), Spring Boot, and microservices architecture.
Build and expose RESTful APIs following best practices.
Implement business logic, validations, and exception handling.
Integrate with SQL/NoSQL databases and external systems.
Ensure security using Spring Security, OAuth2, and JWT.
Write unit and integration tests (JUnit, Mockito) and maintain code quality.
Participate in code reviews, follow clean coding standards, and optimize performance.
Collaborate with frontend, QA, DevOps, and product teams.
Troubleshoot and resolve production issues.
Contribute to CI/CD pipelines, containerization, and cloud deployments.

Required Skills

Strong proficiency in Java (Java 8 or above).
Hands-on experience with Spring Boot, Spring MVC, Spring Data JPA.
Expertise in microservices design patterns (Circuit Breaker, Retry, API Gateway, etc..).
Solid understanding of REST APIs, HTTP methods, and status codes.
Experience with SQL databases (MySQL, PostgreSQL, Oracle, Mongo DB) and ORM frameworks (Hibernate/JPA).\
Familiarity with Git, build tools (Maven/Gradle), and logging frameworks (Log4j/Logback).

Nice to Have

Experience with event-driven architecture and distributed tracing.
Familiarity with monitoring tools (ELK, Prometheus, Splunk).
Knowledge of Infrastructure as Code (Terraform, CloudFormation).
Experience writing code using GitHub Copilot and leveraging Generative AI tools for development and problem-solving.
Knowledge of Docker, Kubernetes, and CI/CD tools (Jenkins, GitHub Actions).
Exposure to cloud platforms (AWS/Azure/GCP) and messaging systems (Kafka/RabbitMQ) is a plus.

Soft Skills

Strong problem-solving and analytical skills.
Excellent communication and collaboration abilities.
Ability to work independently and mentor junior developers.
Adaptable to new technologies and changing requirements.