Java Full Stack Developer
Posted
Summary
Cognizant Softvision is hiring a Java Full Stack Developer in Singapore to design, build, test, and deploy scalable enterprise applications and Spring Boot microservices. Core stack: Java 17/21, Spring, Kafka, AWS (EC2, S3, RDS, Lambda), and Databricks, with use of AI-assisted dev tools like GitHub Copilot.
Role Summary
We are seeking a highly skilled Full Stack Developer with strong hands-on experience in Java 17/21, Spring Boot, Microservices, AWS and Databricks, The ideal candidate should possess strong Java fundamentals, have extensive implementation experience across the software development lifecycle, and be comfortable leveraging AI-assisted development tools to improve productivity and code quality.
Key Responsibilities
Design, develop, test, and deploy scalable enterprise applications using Java 17/21.
Build and maintain RESTful APIs and Microservices using Spring Boot.
Develop high-quality, maintainable, and performant code adhering to best practices. Participate in application modernization and cloud readiness initiatives. Utilize AI-assisted development tools (GitHub Copilot, Claude etc.) to improve development efficiency and code quality. Collaborate with business analysts, architects, QA teams, and DevOps teams throughout the SDLC. Troubleshoot production issues and provide timely resolution. Participate in code reviews and contribute to continuous improvement initiatives.
Required Skills
Core Technical Skills
Strong expertise in Java Fundamentals, including Collections Framework, Multithreading & Concurrency Streams & Lambda Expressions, Memory Management & JVM Concepts, Exception Handling Design Patterns, Performance Optimization Hands-on experience in Java 17 and/or Java 21 implementations. Strong experience with: Spring Boot, Spring MVC, Spring Data JPA Microservices Architecture & REST API Development Experience with Apache Kafka implementation and event-driven architecture. Experience working with AI-powered software development tools Experience on Databricks workflows Experience on AWS Cloud Services (EC2, S3, RDS, Lambda, IAM, CloudWatch)
Basic Knowledge Of
Python and Pyspark SQL and PL/SQL Familiarity with Git, CI/CD, Maven/Gradle, and Agile methodologies.
We are seeking a highly skilled Full Stack Developer with strong hands-on experience in Java 17/21, Spring Boot, Microservices, AWS and Databricks, The ideal candidate should possess strong Java fundamentals, have extensive implementation experience across the software development lifecycle, and be comfortable leveraging AI-assisted development tools to improve productivity and code quality.
Key Responsibilities
Design, develop, test, and deploy scalable enterprise applications using Java 17/21.
Build and maintain RESTful APIs and Microservices using Spring Boot.
Develop high-quality, maintainable, and performant code adhering to best practices. Participate in application modernization and cloud readiness initiatives. Utilize AI-assisted development tools (GitHub Copilot, Claude etc.) to improve development efficiency and code quality. Collaborate with business analysts, architects, QA teams, and DevOps teams throughout the SDLC. Troubleshoot production issues and provide timely resolution. Participate in code reviews and contribute to continuous improvement initiatives.
Required Skills
Core Technical Skills
Strong expertise in Java Fundamentals, including Collections Framework, Multithreading & Concurrency Streams & Lambda Expressions, Memory Management & JVM Concepts, Exception Handling Design Patterns, Performance Optimization Hands-on experience in Java 17 and/or Java 21 implementations. Strong experience with: Spring Boot, Spring MVC, Spring Data JPA Microservices Architecture & REST API Development Experience with Apache Kafka implementation and event-driven architecture. Experience working with AI-powered software development tools Experience on Databricks workflows Experience on AWS Cloud Services (EC2, S3, RDS, Lambda, IAM, CloudWatch)
Basic Knowledge Of
Python and Pyspark SQL and PL/SQL Familiarity with Git, CI/CD, Maven/Gradle, and Agile methodologies.