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The Java EE Developer are expected to contribute to the design, development, and deployment of enterprise-grade applications using Java EE technologies.
Job Responsibility:
Analyze legacy Java EE components, including EJB, JPA , and SOAP services, to support architectural decision-making
Participate in application rationalization and transformation planning
Support technical walkthroughs and documentation activities to map current application behavior, dependencies, and integration points
Collaborate with architects and business analysts to help ensure modernization efforts retain core business logic and interoperability
Assist in migrating legacy systems to cloud-native platforms, emphasizing microservices and API-driven architectures
Utilize AI code analysis tools for examining legacy Java EE applications
Extract and document detailed business requirements and rules based on existing code
Work with business stakeholders and technical teams to validate and adjust identified requirements
Identify and record technical debt, design patterns, and architectural details within legacy systems
Requirements:
Deep hands-on experience in Java and Java EE development, including EJB, JPA, and SOAP-based services. Able to analyze legacy codebases and identify transformation paths for cloud migration
Proficiency in Java SE 1.8 and Java EE 8, including deployment on enterprise-grade application servers
Experience with object-relational mapping and integrating persistence layers with business logic
Ability to work with cross-functional teams including architects, business analysts, and security engineers to align development with business goals
Proven experience with, or strong understanding of, AI code analysis tools for static analysis, code understanding, and pattern recognition
Familiarity with DevSecOps practices, including automated testing, deployment, and monitoring
Exposure to cloud-native transformation strategies, including containerization, elastic scaling, and loosely coupled interfaces
Familiarity with Agile methodologies, sprint planning, and backlog refinement in collaboration with product owners and SMEs
Exceptional analytical and problem-solving skills, with a keen eye for detail
Strong understanding of software design principles and patterns
Experience using AI development tools
Nice to have:
Excellent communication and collaboration skills
Experience with requirement elicitation and documentation
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