> Markdown version of [/jobs/ext/4389561-gms-application-developer](https://www.wearedevelopers.com/jobs/ext/4389561-gms-application-developer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # GMS Application Developer - **Company:** Compunnel Inc. - **Location:** Taylor, TX, United States - **Experience:** Experienced - **Contract:** Contract - **Skills:** Grid System, Java (Programming Language), Apache ActiveMQ, Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Automation of Tests, Microsoft Azure, Code Review, Computer Engineering, Continuous Integration, Design of User Interfaces, Java Message Service (JMS), PostgreSQL, MySQL, Oracle Databases, Oracle (Applications), Systems Development Life Cycle, Software Deployment, Software Engineering, Data Processing, GitHub Copilot, ReactJS, Prompt Engineering, Spring-boot, Backend, Git, Information Technology, Apache Kafka, Claude, GPT, TIBCO (Software), Docker, Databricks - **Published:** October 31, 2026 - **Apply:** https://www.dice.com/job-detail/ca522c3b-9842-433d-8b37-a1df61d17569 ## About the Role 4+ years of experience Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field Master's degree in a related field Azure Developer Associate AWS Certified Developer/Solutions Architect Oracle Java Certification Docker Certification Databricks Certification ## Description Design, develop, test, and maintain grid applications Troubleshoot and resolve application issues Develop APIs, user interfaces, and backend services Collaborate with business users, architects, and project teams Perform code reviews and automated testing Support CI/CD pipelines and production deployments Utilize AI tools (GitHub Copilot, GPT, Claude) to improve development efficiency Work with Databricks and Airflow for data processing and pipelines Create technical documentation and support continuous improvement initiatives, Java Spring Boot React Angular TypeScript REST APIs Oracle Database PostgreSQL MySQL Docker Azure AWS Git Jenkins CI/CD Processes Automated Testing Databricks Airflow Kafka Tibco JMS ActiveMQ AI/ML AI-Assisted Development Tools Software Development Lifecycle (SDLC) Troubleshooting and Application Support Code Review Facilitation Technical Documentation Continuous Improvement Utility and Power Grid Systems Experience Prompt Engineering