Job Summary
The Senior AI Java Developer will support enterprise modernization initiatives and AI-driven software development practices, combining hands-on Java engineering with Generative AI, cloud technologies, and large-scale distributed systems. The role will focus on developing and modernizing applications, implementing AI/ML solutions, leveraging Generative AI development tools, and supporting cloud-based distributed platforms.
Key Responsibilities
• Develop and maintain large-scale applications using Java, Spring Framework, cloud technologies, and web services.
• Implement and deploy AI/ML solutions in production environments.
• Use Generative AI coding assistants such as GitHub Copilot and Claude Code to support development, testing, code reviews, troubleshooting, automation, and documentation.
• Apply agentic workflows, prompt engineering, spec-driven development, and large language model capabilities to software development initiatives.
• Develop and support microservices and containerized applications.
• Support CI/CD environments and cloud-based application deployments.
• Contribute to application modernization and migrations from legacy platforms to distributed architectures.
• Work with cloud platforms including AWS, GCP, or PCF.
• Develop and support applications using database technologies such as MongoDB, PostgreSQL, and Aerospike.
• Collaborate with technical teams and stakeholders to analyze requirements, solve technical challenges, and deliver scalable solutions.
• Create and maintain architecture diagrams, design documentation, and technical specifications as needed.
• Support software quality through testing, troubleshooting, automation, and quality engineering practices.
Required Qualifications
• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience.
• 7+ years of experience developing large-scale applications using Java, Spring Framework, cloud technologies, and web services.
• 2+ years of hands-on experience implementing and deploying AI/ML solutions in production.
• Experience using Generative AI coding assistants such as GitHub Copilot or Claude Code for development, testing, code reviews, troubleshooting, automation, and documentation.
• Working knowledge of agentic workflows, prompt engineering, spec-driven development, and large language models such as GPT, Claude, and Gemini.
• 6+ years of experience with microservices, containerized applications, CI/CD environments, and cloud-based deployments.
• 2+ years of experience with AWS, GCP, or PCF.
• Experience with MongoDB, PostgreSQL, Aerospike, or similar database technologies.
• Experience supporting application modernization and legacy-to-distributed platform migrations.
• Strong communication, collaboration, and problem-solving skills.
Preferred Qualifications
• Master's degree in a related field.
• Experience with Kafka, RabbitMQ, or other messaging technologies.
• Experience in the financial services industry.
• Background in Test-Driven Development (TDD), QA automation, and quality engineering.
• Experience creating architecture diagrams, design documents, and technical specifications.
• Familiarity with Agile methodologies and Atlassian tools such as Jira and Confluence.
