Senior Java Consultant

Role: Java EE Developer

Location : Austin, TX – Onsite (Only Locals)

Long Term Project

Note: Required min 15 Years consultants & Must be local to Texas

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 the 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.

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.
• 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
• Excellent communication and collaboration skills.
• Experience with requirement elicitation and documentation.