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Java Full Stack Developer - Spring Boot/Microservices Architecture

ClingMulti Solutions
Multiple Locations
8 - 10 Years

Posted on: 26/09/2025

Job Description

Job Title : Java Full Stack Developer


Experience : 8+ Years


Job Summary :


We are seeking a highly skilled and experienced Java Full Stack Developer with 8+ years of expertise in designing, developing, and delivering scalable enterprise applications. The ideal candidate should have strong proficiency in both backend (Java, Spring Boot, Microservices) and frontend (Angular/React) technologies, along with cloud and DevOps exposure.


Key Responsibilities :


- Design, develop, and maintain scalable, secure, and high-performance web applications.


- Build RESTful APIs and microservices using Java, Spring Boot.


- Develop interactive and responsive user interfaces using Angular/React.


- Collaborate with product owners, architects, and cross-functional teams to define technical solutions.


- Implement CI/CD pipelines and work with cloud environments (AWS/Azure/GCP).


- Write unit tests, perform code reviews, and ensure coding standards are followed.


- Optimize application performance and troubleshoot complex issues.


- Maintain technical documentation and contribute to best practices and design patterns


Required Skills & Experience :


- 8+ years of hands-on experience in full stack development.


- Strong expertise in Java, Spring Boot, Microservices architecture.


- Proficiency in Angular or React (latest versions preferred).


- Strong knowledge of REST APIs, JSON, and web services.


- Experience with databases (SQL & NoSQL MySQL, PostgreSQL, MongoDB).


- Hands-on with DevOps tools (Jenkins, GitHub/GitLab, Docker, Kubernetes).


- Experience in cloud platforms (AWS/Azure/GCP).


- Strong knowledge of design patterns, OOPS concepts, and data structures.


- Good understanding of Agile/Scrum methodology.


Good to Have :


- Knowledge of Kafka, RabbitMQ, or other messaging queues.


- Exposure to Terraform/Ansible for infrastructure automation.


- Familiarity with AI/ML integration or Data Engineering concepts.


Educational Qualification :


Bachelors/Masters degree in Computer Science, Information Technology, or related field.


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