Sr Java​/Java EE Architect​/Lead Java Developer; AI

Sr Java/Java EE Architect / Lead Java Developer (AI)
Austin, TX

• 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.

• 12 years required:
  Deep hands‑on experience in Java and Java EE development, including EJB, JPA, and SOAP‑based services; ability to analyze legacy codebases and identify transformation paths for cloud migration.
• 12 years required:
  Proficiency in Java SE 1.8 and Java EE 8, including deployment on enterprise‑grade application servers.
• 12 years required:
  Experience with object‑relational mapping and integrating persistence layers with business logic.
• 10 years required:
  Ability to work with cross‑functional teams including architects, business analysts, and security engineers to align development with business goals.
• 8 years required:
  Proven experience with, or strong understanding of, AI code analysis tools for static analysis, code understanding, and pattern recognition.
• 8 years required:
  Familiarity with Dev Sec Ops  practices, including automated testing, deployment, and monitoring.
• 8 years required:
  Exposure to cloud‑native transformation strategies, including containerization, elastic scaling, and loosely coupled interfaces.
• 8 years required:
  Familiarity with Agile methodologies, sprint planning, and backlog refinement in collaboration with product owners and SMEs.
• 8 years required:
  Exceptional analytical and problem‑solving skills, with a keen eye for detail.
• 8 years required:
  Strong understanding of software design principles and patterns.
• 2 years required:
  Experience using AI development tools.
• 6 years preferred:
  Excellent communication and collaboration skills.
• 6 years preferred:
  Experience with requirement elicitation and documentation.

Mid‑Senior level

Contract

Engineering and Information Technology

IT Services and IT Consulting