Job Summary We are seeking a Senior Full Stack Software Engineer to design, develop, and deliver highly scalable applications within a financial-services environment. The ideal candidate will have strong hands-on experience with Java, Spring Boot, React, AWS, and modern AI/GenAI technologies . The engineer will work across backend services, frontend applications, cloud infrastructure, APIs, and AI-enabled solutions while following strong engineering, security, testing, and CI/CD practices. Key Responsibilities Design and develop scalable Java/Spring Boot microservices and RESTful APIs. Build modern, responsive user interfaces using React, JavaScript/TypeScript, HTML, and CSS . Develop and integrate AI/GenAI and Agentic AI capabilities into enterprise applications. Work with AWS cloud services to build and deploy cloud-native applications. Develop event-driven solutions using technologies such as Kafka, Redis, and other distributed systems . Design and optimize relational and NoSQL databases including Oracle, PostgreSQL, MongoDB, or similar technologies . Implement automated testing using JUnit, Mockito, integration testing, and TDD practices . Build and maintain CI/CD pipelines using GitHub, Jenkins, GitHub Actions, or similar tools. Apply observability and monitoring using tools such as Datadog, Splunk, or equivalent platforms . Participate in architecture discussions, code reviews, Agile/Scrum ceremonies, and technical design sessions. Collaborate with Product, UX, Architecture, and other engineering teams to deliver business-critical applications. Ensure solutions meet enterprise standards for security, scalability, reliability, and performance . Required Qualifications 10+ years of professional software engineering experience . Strong hands-on development experience with Java and Spring Boot . Strong experience developing REST APIs and microservices . Hands-on experience with React and modern JavaScript/TypeScript. Experience with AWS and cloud-native application development. Experience with SQL/relational databases and preferably NoSQL technologies. Strong understanding of CI/CD, automated testing, Git, and Agile/Scrum . Experience working with distributed/event-driven technologies such as Kafka . Strong understanding of object-oriented design, design patterns, and software architecture . Excellent problem-solving and communication skills. Preferred Qualifications Experience with Agentic AI, LLMs, RAG, LangChain, LangGraph, or AI agents . Experience integrating OpenAI, Anthropic, Gemini, or similar LLM platforms . Experience with Python for AI/automation workflows. Experience with Datadog, Splunk, or enterprise observability platforms . Experience with Docker and Kubernetes . Financial services or banking domain experience. Experience with AI-assisted development tools such as GitHub Copilot, Claude Code, Amazon Q, or Cursor. Experience with high-volume, high-availability production systems .