Java Developer (AI Focus)

Responsibilities:

• Collaborate with Product Owners, QA, PMO, DevOps and other developers to define requirements, design, and develop mission critical applications
• Utilize AI development tools to enhance coding efficiency, code review, testing, and documentation processes
• Analyze, design and develop application solutions and enhancements that meet requirements
• Ensure adherence to programming and enterprise architectural standards
• Complete work assignments and perform appropriate follow up to ensure that tasks are completed on time
• Collaborate with product owners, application users, creative team and other developers to define requirements, design, and develop the web application
• Assist in the rollout of new applications, problem fixes, and enhancements of software
• Work alongside AI-enthusiastic technical leads to continuously improve development workflows

Qualifications:

• Undergraduate degree in computer science, engineering or similar field (or equivalent experience)
• 5+ years programming with Java (backend development focus), JEE, Web Services
• Experience with webservice/API development using Java-based enterprise technologies and tools using Java 8 and above, Microservices architecture, Spring and REST
• Must be able to code in prevailing technologies including Java, Spring, SQL including conceptual knowledge with cloud native solutions from AWS
• Proven abilities delivering code with CI/CD development methodologies
• Experience with modern development tools (ideally Eclipse/Intellij, Git, Maven, CI servers, Azure DevOps (or other tools), code review tools)
• Knowledge of Domain-Driven Design concepts and designing and developing Microservices using the Spring ecosystem
• Knowledge of developing Spring Data access application with AWS RDS or NoSQL data stores
• Conceptual Experience with API design and implementation
• Conceptual Knowledge with container orchestrators and container engines (Docker, AWS ECS)
• Analytical, problem-solving mindset
• Self-driven with minimal supervision
• Experience working on a production-critical system
• Openness to learning and integrating AI tools into development workflow