Fullstack- Java,Springboot, AWS, Docker professionals

6 - 9 years

3 - 6 Lacs

Posted:2 days ago| Platform: Foundit logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Roles & Responsibilities:

  • Design, develop, and maintain enterprise-level Java-based microservices and web applications.
  • Build RESTful APIs and integrate backend services with modern front-end components.
  • Utilize Spring Framework (IOC, AOP, MVC) and Spring Boot for scalable, modular application design.
  • Develop and deploy cloud-ready solutions leveraging AWS, Docker, and Kubernetes.
  • Implement automated testing using tools such as Karate, Cucumber, Selenium, and JMeter.
  • Manage code repositories, perform quality checks, and automate deployments using GitHub, SonarQube, and Jenkins.
  • Follow Agile SCRUM principles, actively participating in sprint planning, reviews, retrospectives, and daily stand-ups.
  • Collaborate closely with cross-functional teams including development, QA, and operations to ensure seamless delivery.
  • Contribute to continuous improvement by identifying performance optimizations and best practices.

Years of Experience:

  • 69 years of experience in Java/J2EE full stack development and cloud-based applications.

Educational Qualification:

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Skill Set Required:

Must Have:

  • Strong Java/J2EE and Object-Oriented Design skills.
  • Expertise in Core Java, Spring Framework (IOC, AOP, MVC), and Spring Boot.
  • Experience in REST Web Services and multithreading.
  • Hands-on experience with AWS Cloud, Docker, and Kubernetes.
  • Knowledge of test automation tools: Karate, Cucumber, Selenium, JMeter.
  • Experience with GitHub, SonarQube, and Jenkins for CI/CD pipeline management.
  • Solid understanding of Agile SCRUM methodologies.
  • Excellent communication, documentation, and presentation skills.

Good to Have:

  • SQL proficiency (Oracle preferred) and experience with ORM tools (Spring Data JPA).
  • Familiarity with messaging platforms (Kafka) and caching tools (GemFire, Redis).
  • Exposure to job scheduling tools such as Autosys or Airflow.
  • Knowledge of performance testing and application optimization techniques

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