Senior Full Stack Developer

Job Title: Senior Full Stack Developer

Location: Fort Mill, SCHybrid role, 3 days a week

Role Overview: We are seeking an experienced Senior Full-Stack Software Developer to design, develop and maintain enterprise applications used to configure, manage, monitor and govern financial index operations. The ideal candidate will have strong hands-on experience with React, Angular, Java and Spring Boot, along with practical experience using AI-assisted and agentic development tools in day-to-day software engineering.

Key Responsibilities: Develop modern, responsive and data-intensive user interfaces using React. Maintain, enhance and modernize existing Angular applications. Build scalable backend services and APIs using Java and Spring Boot. Integrate REST/GraphQL APIs, databases, messaging systems and enterprise services. Develop workflow-driven applications supporting approvals, audit trails, monitoring, exception handling and operational reporting. Collaborate directly with end users and business stakeholders to understand requirements, gather feedback and deliver effective solutions. Use AI-assisted coding tools and agentic development workflows for prototyping, code generation, refactoring, automated testing and documentation. Review and validate AI-generated code for correctness, security, maintainability and production readiness. Implement automated testing, CI/CD pipelines, monitoring and application support practices. Take ownership of features from requirements gathering and design through implementation, testing and production release.

Required Qualifications: Strong professional experience developing full-stack enterprise applications. Hands-on experience with React and Angular, including components, state management and performance optimization. Strong Java programming skills and production experience with Spring Boot/Spring Framework. Experience designing and integrating REST and/or GraphQL APIs. Experience with relational or NoSQL databases. Knowledge of cloud platforms, preferably AWS, and modern application deployment practices. Experience with messaging technologies such as Kafka, MQ, SQS/SNS or equivalent. Strong understanding of unit testing, integration testing, UI testing, version control and CI/CD.Practical experience using AI-powered development tools in software engineering. Understanding of agentic AI workflows, task decomposition, prompt design, output validation and secure AI usage. Excellent communication, problem-solving and stakeholder-management skills. Ability to work independently, manage ambiguity and take ownership of production outcomes.