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Java Full Stack Developer

Cognizant

3.6
252 reviews
Cognizant
Job Type   /   Job Level
Full-time   /   Others/Any
Job Location
Singapore, Singapore
Salary Range
SGD 5,500 - SGD 8,500 (Monthly)
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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.
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