Java Full Stack Developer

Responsibilities: Design, develop, and maintain web applications using Java and Spring Boot for backend services and React for frontend development Implement new features and enhancements to existing functionality with moderate guidance Write clean, efficient, and maintainable code following best practices and team standards Create and maintain RESTful APIs and integrate them with React-based frontends Collaborate with cross-functional teams to understand requirements and deliver solutions Troubleshoot, debug, and resolve technical issues in both backend and frontend systems Participate in code reviews, providing and receiving constructive feedback Write and maintain unit tests to ensure code quality and functionality Contribute to database design and development using SQL and PostgreSQLStay current with relevant technologies and frameworks Provide occasional guidance to junior developers Knowledge and Experience Bachelor's degree in Computer Science, Software Engineering, or related field (or equivalent experience)3+ years of professional software development experience Java Programming: Deep knowledge of Java language, its ecosystem, and best practices Experience with SQL, PostgreSQL and relational database concepts Frontend Technologies: Proficiency in HTML, CSS, Java Script, React, and Type Script Backend Development: Expertise in developing and maintaining backend services using Java, Spring, and related technologies Strong understanding of RESTful services, microservices architecture, and database management Familiarity with version control systems like Git, Azure Dev Ops, and CI/CD pipelinesAI & ML Fundamentals: Understanding of natural language processing (NLP), machine learning concepts, and how LLMs work Prompt Frameworks & Techniques: Proficiency in methods such as zero-shot, few-shot, chain-of-thought, and knowledge-generation promptingLLMAPI Experience: Hands-on work with major AI platforms (e.g., OpenAI, Anthropic, Google Gemini) to test and refine prompts Prompt Optimization: Ability to craft precise, structured instructions that reduce hallucinations and improve accuracy Data Preparation: Preparing and curating datasets for training or fine-tuning models Performance Analysis: Measuring and improving AI output quality through A/B testing and iterative refinement Preferred Experience Knowledge of cloud platforms (OCP, Apigee, AWS, GCP, or Azure)Experience with CI/CD pipelines (e.g., Azure Dev Ops, Git Hub Actions)Knowledge of containerization concepts (Docker)Familiarity with microservices architecture Experience with automated testing frameworks Understanding of responsive design and accessibility standards Knowledge of performance optimization techniques #LI-MA1 Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.