The Java EE Developer are expected to contribute to the design, development, and deployment of enterprise-grade applications using Java EE technologies, while aligning with HHSC s goals of modularity, security, and interoperability.
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.
II. CANDIDATE SKILLS AND QUALIFICATIONS
Minimum Requirements: Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity.
Years Required/Preferred Experience
12 Required 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.
12 Required Proficiency in Java SE 1.8 and Java EE 8, including deployment on enterprise-grade application servers.
12 Required Experience with object-relational mapping and integrating persistence layers with business logic.
10 Required Ability to work with cross-functional teams including architects, business analysts, and security en
gineers to align development with business goals.
8 Required Proven experience with, or strong understanding of, AI code analysis tools for static analysis, code understanding, and pattern recognition.
8 Required Familiarity with DevSecOps practices, including automated testing, deployment, and monitoring.
8 Required Exposure to cloud-native transformation strategies, including containerization, elastic scaling, and loosely coupled interfaces.
8 Required Familiarity with Agile methodologies, sprint planning, and backlog refinement in collaboration with product owners and SMEs.
8 Required Exceptional analytical and problem-solving skills, with a keen eye for detail.
8 Required Strong understanding of software design principles and patterns.
2 Required Experience using AI development tools
6 Preferred Excellent communication and collaboration skills.
6 Preferred Experience with requirement elicitation and documentation.
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