IBM watsonx Code Assistant for Z is an AI-powered tool that transforms the way applications are developed and modernized on IBM Z systems. It leverages cutting-edge AI to automate routine tasks, modernize legacy code, and enhance developer productivity, bridging the gap between traditional enterprise systems and modern technology.
Why Join the Project?Innovative Tech: Work at the intersection of AI and enterprise computing, driving the future of software development.
Real Impact: Help businesses accelerate digital transformation by modernizing their core systems.
Collaborative Growth: Team up with AI experts and Z engineers to create impactful solutions while expanding your skills in AI and enterprise systems.
If you’re a problem-solver passionate about AI, enterprise systems, or modernizing technology, this is your chance to shape the future of coding on IBM Z. Let’s innovate together!
Design, develop, test, and maintain scalable web applications and services.
Collaborate with cross-functional teams to define, design, and deliver new features.
Build RESTful APIs and ensure seamless integration between frontend and backend.
Implement efficient database queries and manage database schema design.
Write clean, maintainable, and well-documented code following best practices.
Debug, troubleshoot, and resolve technical issues across the stack.
Participate in code reviews to ensure high-quality standards.
Contribute to the design and architecture of the software system.
Backend Development: Hands-on experience with Java frameworks like Spring Boot or Hibernate.
Frontend Development: Experience with at least one modern JavaScript framework (e.g., React.js, Angular, or Vue.js).
Database Integration: Working knowledge of database management, including writing complex SQL queries.
API Development: Experience designing and consuming RESTful or GraphQL APIs.
Version Control: Proficient in using Git for collaboration and version control.
Testing: Writing and executing unit tests using tools like JUnit, or similar.
Project Lifecycle Knowledge: Exposure to SDLC and Agile methodologies.
Knowledge of microservices architecture and related tools (e.g., Spring Cloud).
Basic exposure to containerization tools like Docker or orchestration with Kubernetes.
Experience with NoSQL databases.
Familiarity with CI/CD tools like Jenkins or GitHub Actions.
Understanding of security best practices (e.g., OAuth2).