Full Stack Developer — AI-Enhanced SDLC (Java/Spring)

Computer Task Group; San Jose (CA); Presencial; USD 110 000 - 124 000; Tempo integral

Resumo da oferta

CTG is seeking a Full Stack Developer to design, develop, and maintain scalable applications using Java, Spring Boot, and modern JavaScript frameworks. You will build RESTful APIs and cloud-native microservices, create responsive UI, and integrate with backend services.

Responsibilities include collaborating with cross-functional teams, participating in code reviews, and leveraging AI-powered tools to improve coding quality and productivity.

Qualificações

• Bachelor's degree or equivalent practical experience in computer science, software engineering, or a related field.
• Proficiency in Java, Spring Boot, JavaScript, and modern frontend frameworks.

Responsabilidades

• Design, develop, test, and maintain scalable full-stack applications using Java, Spring Boot, and modern JavaScript frameworks.
• Build RESTful APIs and cloud-native microservices aligned with enterprise architecture standards.
• Develop responsive user interfaces and integrate them with backend services.
• Leverage AI-powered development tools to accelerate coding, improve code quality, automate testing, and increase productivity throughout the SDLC.
• Collaborate with cross-functional teams on requirements, code reviews, testing, deployment, and continuous improvement.

Conhecimentos

Java

Spring Boot

JavaScript

Frontend frameworks

RESTful APIs

Microservices

Cloud-native

AI-powered tools

CI/CD

Testing

Formação académica

Bachelor's degree in Computer Science, Software Engineering, or related field

Ferramentas

AI-powered development tools

Descrição da oferta de emprego

CTG is seeking a Full Stack Developer to design, develop, and maintain scalable applications using Java, Spring Boot, and modern JavaScript frameworks. You will build RESTful APIs and cloud-native microservices, create responsive UI, and integrate with backend services.

Responsibilities include collaborating with cross-functional teams, participating in code reviews, and leveraging AI-powered tools to improve coding quality and productivity.