Software Developer - Java

Responsibilities

• Develop and maintain Java-based software applications using recent language features such as lambdas, streams, and futures to improve code efficiency and readability
• Analyze and debug code execution flow to identify and resolve issues, even without debugger access
• Design and implement algorithms and data structures with consideration of complexity analysis to optimize performance
• Manage project dependencies and build processes using Maven
• Use Git and Git portals like GitHub or GitLab to version control code and collaborate with teams
• Write and maintain integration tests to ensure software quality and reliability
• Utilize Linux and bash scripting to support development and deployment tasks
• Write and optimize SQL queries to manage and retrieve data effectively
• Apply AI-powered tools (e.g., GitHub Copilot) to enhance coding productivity and problem-solving accuracy
• Understand AI/ML fundamentals including prompt engineering and model limitations to improve human-AI collaboration
• Evaluate AI-generated outputs for accuracy, security, and alignment with business requirements
• Identify and implement opportunities for AI integration and automation within existing workflows
• Deploy and manage containerized applications using Docker and Kubernetes for scalable environments
• Work with cloud providers, especially AWS, to deploy and maintain cloud-based applications
• Use Jira or similar issue-tracking systems to manage development tasks and workflows
• Develop RESTful web services using the Spring framework, particularly Spring Boot and Swagger
• Utilize Spark for big data processing and analytics tasks
• Preferred competencies and qualifications
• Experience with Spark
• Familiarity with Jira or similar issue-tracking systems
• EA License No: 11C4879 / Registration ID : R1218583
• Apar Technologies Pte Ltd, Singapore

Additional Information

Job Summary You will develop and maintain software solutions using Java and related technologies, leveraging AI tools to enhance productivity and integrating cloud and containerization technologies to support scalable applications.

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