Senior Java Solutions Architect

Skills:

cloud-native platforms, Java EE technologies (EJB, JPA, SOAP), architectural decision-making.

Job Description

We are seeking an experienced Senior Java EE Developer to support the modernization of enterprise applications and the migration of legacy systems to cloud-native platforms . The ideal candidate will have extensive hands-on experience with Java EE technologies (EJB, JPA, SOAP) , strong analytical skills for legacy code analysis, and the ability to collaborate with architects, analysts, and stakeholders.

This role requires a blend of technical expertise, system analysis, and modernization experience to ensure HHSC’s applications meet the goals of modularity, security, and interoperability .

Key Responsibilities

• Analyze legacy Java EE components (EJB, JPA, SOAP services) to support architectural decision-making .

• Participate in application rationalization and transformation planning .

• Support technical walkthroughs, documentation, and mapping of system dependencies and integration points .

• Collaborate with architects and business analysts to modernize systems while retaining core business logic .

• Assist in migrating legacy systems to cloud-native platforms with emphasis on microservices and API-driven architecture.

• Use AI code analysis tools to examine legacy Java EE applications.

• Extract and document business rules, requirements, and system logic based on existing code.

• Work with business and technical stakeholders to validate and adjust requirements.

• Identify and record technical debt, design patterns, and architectural details in legacy systems.

Minimum Requirements

• 12+ years of hands-on experience in Java and Java EE development (EJB, JPA, SOAP).

• 12+ years proficiency with Java SE 1.8 and Java EE 8 , including deployment on enterprise-grade servers.

• 12+ years experience with object-relational mapping and persistence layer integration .

• 10+ years collaborating with cross-functional teams (architects, analysts, security engineers).

• 8+ years experience with AI code analysis tools for static analysis and pattern recognition.

• 8+ years familiarity with DevSecOps practices (automated testing, deployment, monitoring).

• 8+ years exposure to cloud-native transformation strategies (containerization, elastic scaling, loosely coupled interfaces).

• 8+ years working with Agile methodologies (sprint planning, backlog refinement).

• Strong understanding of software design principles and patterns .

• Exceptional analytical and problem-solving skills .

Preferred Qualifications

• 6+ years strong communication and collaboration skills.

• 6+ years experience with requirement elicitation and documentation .