Role : Lead Java Developer / Programmer Analyst

Location : Lansing, MI (Hybrid)

Job Description :

Top Skills & Years of Experience: 

Possess a minimum of 10 years of recent experience working with: Angular, JavaScript, SSRS, SQL Server, and working in an environment utilizing hybrid agile/waterfall project management methodologies.

Possess a minimum of 10 years of recent experience working with: Java, Spring.

Possesses a minimum of 5 years of recent experience writing, compiling, modifying, and debugging complex SQL Server database configuration items, including, but not limited to, Stored Procedures, Functions, Triggers, Views, Tables, and linked servers.

Possess a minimum of 5 years of recent experience working with Azure DevOps (ADO) for backlog management, sprint planning, task tracking, and progress reporting, supporting Agile methodologies.

Ability to provide quality customer service, build trust through integrity of work, and build strategic relationships through teamwork are required.

Skills Descriptions:

10+ years of developing complex computer systems using Java.

10+ years of developing complex computer systems using java IDEs such as Eclipse and STS.

8+ years programming using Java JEE Struts Framework.

10+ years programming in SQL and/or PL/SQL.

8+ years programming using Java JEE Spring/SpringBoot Framework 3.0.

8+ years of development using Hibernate/JPA framework.

5+ years in projects development using Angular/React JS, JavaScript framework.

5+ years programming in the JBOSS Enterprise SOA environment including JBOSS Workflow.

5+ years using CMM/CMMI Level 3 methods and practices.

5+ years implemented agile development processes including test driven development.

3+ years of experience or knowledge on creating CI/CD pipelines using Azure DevOps - Nice to have

2+ years of experience with React.js and modern JavaScript (ES6+).

Strong understanding of Redux, React Router, and component lifecycle.

Exposure to DevOps practices and cloud platforms (AWS, Azure).

Hands-on experience using AI to accelerate daily coding tasks, including code generation, refactoring and documentation.

Proven ability to integrate AI into development workflows to enhance productivity, code quality, and team collaboration.