Senior Java EE Developer

Java EE Developer

📍 Location: Austin, TX (Hybrid)

🕒 Duration: 9 Months Contract (Possible Extension)

About the Role

We are seeking a highly experienced Java EE Developer to support the modernization of large-scale enterprise applications. This role involves analyzing legacy Java EE systems, contributing to architectural transformation planning, and assisting in the migration of applications toward cloud-native, modular, and interoperable platforms. The ideal candidate will have deep expertise in Java EE, strong analytical skills, and the ability to collaborate effectively with cross-functional teams.

What You’ll Do

• Analyze legacy Java EE components—including EJB, JPA, and SOAP services—to support modernization and cloud-migration strategies.
• Participate in application rationalization and transformation planning.
• Support technical walkthroughs and contribute to documentation of system behavior, dependencies, and integration points.
• Work with architects and business analysts to ensure modernization efforts preserve core business logic and interoperability.
• Assist in migrating legacy applications to cloud-native architectures, focusing on microservices and API-driven patterns.
• Use AI-based code-analysis tools to understand and assess legacy application codebases.
• Extract and document business rules and requirements based on existing code.
• Collaborate with stakeholders to validate and refine identified requirements.
• Identify technical debt, design patterns, and architectural details within legacy systems.

Minimum Requirements (Sentence Format)

• 12 years of hands-on experience with Java, Java EE, EJB, JPA, and SOAP-based services, with the ability to analyze legacy code and define cloud-migration strategies.
• 12 years of proficiency in Java SE 1.8 and Java EE 8, including deployment on enterprise-grade application servers.
• 12 years of experience working with ORM frameworks and integrating persistence layers with business logic.
• 10 years of experience collaborating with architects, business analysts, security engineers, and cross-functional teams.
• 8 years of experience using or deeply understanding AI-driven code analysis tools.
• 8 years of experience with DevSecOps practices, including automated testing, CI/CD pipelines, and system monitoring.
• 8 years of experience supporting cloud-native transformation, including containerization, elastic scaling, and loosely coupled architectures.
• 8 years of experience working within Agile methodologies such as sprint planning and backlog refinement.
• 8 years of proven analytical and problem-solving skills with strong attention to detail.
• 8 years of experience applying software design principles and design patterns.
• 2 years of experience using AI development tools.
• 6 years of excellent communication and collaboration skills (Preferred).
• 6 years of experience in requirements elicitation and documentation (Preferred).