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Kavyos Consulting Linkedin · Posted 6d ago

Full Stack Java Developer

Woodbridge, New Jersey, United States

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Indexed description

As a Full Stack Java Developer, you will design, build, and maintain scalable applications and services that power Client's e-commerce platform. You'll work across the stack — from backend services to web interfaces — to deliver seamless, high-performance experiences for millions of customers.


What You'll Do

  • Design, develop, and maintain RESTful APIs and backend services.
  • Build and enhance core Java/J2EE applications and related frameworks.
  • Develop and optimize front-end components using HTML, JavaScript, and CSS.
  • Collaborate on system architecture, caching, and performance optimization.
  • Contribute to CI/CD pipelines and automation processes.
  • Ensure compliance with security standards and best practices.
  • Work closely with global teams in Istanbul and New York to deliver end-to-end solutions.


What You'll Bring

  • 10+ years of experience with core Java/J2EE applications and frameworks.
  • Strong hands-on experience with Spring, JPA, JMS, and relational databases.
  • Deep understanding of RESTful API design and development.
  • Proficiency in HTML, JavaScript, CSS, SEO, and accessibility best practices.
  • Working knowledge of Linux/Solaris environments and shell scripting.
  • Experience with CI/CD tools, build automation, and version control.
  • Familiarity with cloud services (GCP preferred) and caching frameworks.
  • Strong problem-solving ability and adaptability in fast-changing environments.
  • Excellent communication skills and a collaborative mindset.


Bonus Points For:

  • Experience in e-commerce or high-volume transaction systems.
  • Knowledge of Postgres, Oracle 12c+, SQL/PLSQL, and query optimization.
  • Familiarity with modern JavaScript frameworks (React, AngularJS, Ember).
  • Experience with CSS frameworks (Bootstrap, Sass/LESS).
  • Understanding of PCI compliance, performance tuning, or data security.
  • Exposure to machine learning or data science applications.


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