Lead Java & Spring Boot Engineer – Enterprise Integrations

CGI Njoyn; Dallas (TX); On-site; USD 90,000 - 198,000; Full time

Benefits offered by this job

Competitive compensation

Comprehensive insurance options

401(k) plan with matching

Job summary

CGI in Dallas, TX is seeking a Lead Java Software Engineer to drive design, development, and delivery of integration solutions using Java, Spring Boot, and microservices. This on-site role requires collaboration with cross-functional teams to architect scalable systems and improve production stability.

You will work with CI/CD pipelines (Jenkins), Linux scripting, and data modeling while aligning with Market Risk concepts and front-end dashboards using Angular for reports.

Qualifications

• Bachelor's degree in Computer Science, IT, or related field or equivalent experience.
• 3+ years of tech lead experience with Flowable, Java, microservices, Agentic AI, Python, Relational DBs, NOSQL, etc.
• Java, Spring Boot, and Microservices architecture experience.

Responsibilities

• Design, develop, and maintain integration solutions using Java Spring Boot and microservices.
• Create reusable components to streamline integration processes.
• Collaborate with cross-functional teams and document technical designs.
• Deploy and support CI/CD pipelines using Jenkins across environments.
• Troubleshoot production systems and optimize performance.

Skills

Java

Spring Boot

CI/CD

Angular

Linux scripting

SQL

Python

Microservices

Data modeling

Market Risk concepts (PFE, CVA, VaR)

Education

Bachelor's degree in Computer Science/Information Technology or related field

Tools

Jenkins

Oracle

NOSQL databases

Job description

CGI in Dallas, TX is seeking a Lead Java Software Engineer to drive design, development, and delivery of integration solutions using Java, Spring Boot, and microservices. This on-site role requires collaboration with cross-functional teams to architect scalable systems and improve production stability.

You will work with CI/CD pipelines (Jenkins), Linux scripting, and data modeling while aligning with Market Risk concepts and front-end dashboards using Angular for reports.