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# Java Application Engineer (AI & Google Cloud Platform)

- **Company:** VDart, Inc.
- **Location:** United States (Remote available)
- **Contract:** Contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Cloud Computing, COBOL (Programming Language), Code Generation, Continuous Integration, Data Structures, Database Design, DevOps, Job Control Language (JCL), PostgreSQL, Mainframes, Performance Tuning, Software Engineering, SQL Databases, Virtual Storage Access Methods, Google Cloud, Java Application Server, Prompt Engineering, Spring-boot, AngularJS, Kubernetes, Claude, Spring Batch
- **Published:** October 30, 2026
- **Apply:** https://www.dice.com/job-detail/ec14c863-70b2-4a00-a209-4ceac6a25ae5

## About the Role

* Strong Java development experience, including Spring Boot, Spring Batch (required), and full-stack development (Angular preferred)
 * Experience using AI tools, including prompt engineering and Claude for software development and modernization activities
 * Strong database expertise, including SQL, data modeling, and PostgreSQL
 * Experience with Google Cloud Platform (Google Cloud Platform) and Google Kubernetes Engine (GKE)
 * Proven application modernization experience
 * Knowledge of legacy mainframe technologies, including COBOL, JCL, and VSAM, is highly desirable

## Description

* Utilize AI-assisted development tools to analyze legacy applications and support modernization efforts
 * Design and optimize prompts to improve business rule extraction and code conversion outcomes
 * Develop and validate modernized Java applications using Spring Boot and Spring Batch
 * Review and refine AI-generated code to ensure quality, compliance, and functional accuracy
 * Support migration of VSAM-based data structures to Alloy DB
 * Build, deploy, and support containerized applications within Google Cloud Platform/GKE environments
 * Develop and optimize SQL solutions, database designs, and performance tuning strategies
 * Collaborate with architects, SMEs, business analysts, and modernization teams to achieve delivery objectives

Desired Technical Background:

 * Java, Spring Boot, Spring Batch
 * Google Cloud Platform, GKE/Kubernetes
 * CI/CD and DevOps practices
 * Claude or similar AI-assisted development tools
 * Prompt engineering and AI-enabled software development
 * SQL, PostgreSQL, Alloy DB
 * Mainframe modernization experience

Expected Outcomes:

 * Accelerated and high-quality modernization of legacy applications
 * Accurate extraction and documentation of business requirements and business rules
 * Successful migration of legacy data assets to modern database platforms
 * Stable deployment and operation within cloud-native environments
 * Continuous improvement in AI-assisted development productivity and delivery quality