Senior Java Developer

Fusion
Atlanta, GA, United States
1 day ago
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Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Amazon Web Services Microsoft Azure Computer Programming Relational Databases Spring Framework PostgreSQL Microsoft SQL Server MySQL
+21 more
Oracle (Applications) Systems Development Life Cycle Microsoft Copilot Software Engineering SQL Databases Systems Integration Google Cloud GitHub Copilot Spring-mvc Spring-boot Generative AI AI Coding Agents Backend Agentic-AI Git Claude Google Gemini Restful APIs Model Context Protocol Software Version Control Microservices

Requirements

  • Strong experience in Java development (Java 8/11/17 or above).
  • Hands-on experience with Spring Boot, Spring MVC, and related Java frameworks.
  • Experience in designing and developing REST APIs and microservices.
  • Proficiency in Python programming for automation, integration, or backend development.
  • Exposure to the Spec Driven Development .
  • Good understanding of SQL and relational databases (Oracle, SQL Server, PostgreSQL, MySQL, etc.).
  • Experience with source control tools such as Git.
  • Understanding of software development lifecycle (SDLC) and Agile methodologies.
  • Strong analytical, troubleshooting, and problem-solving skills.

Preferred Skills:

  • Experience working with Generative AI (GenAI) tools and platforms such as GitHub Copilot, Anthropic Claude, Google Gemini, or similar solutions.
  • Experience leveraging AI coding assistants such as GitHub Copilot to improve developer productivity.
  • Exposure to cloud-based AI services on Azure, AWS, or Google Cloud Platform.

Nice to Have:

  • Hands-on experience integrating GenAI capabilities into Java and Python-based applications.
  • Experience building AI-powered APIs, assistants, copilots, or agentic workflows.
  • Understanding of MCP (Model Context Protocol), AI Agents, and enterprise AI solution architectures

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