Java Developer - Local to NY only

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:

Bachelors 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