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# java full stack developer

- **Company:** Whiz Global LLC
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Contract:** Temporary to permanent
- **Skills:** LangGraph Framework, HTML, Java (Programming Language), JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Automation of Tests, Cascading Style Sheets (CSS), Cloud Computing, Cloud Engineering, Code Review, Continuous Integration, Relational Databases, Cursor, Software Design Patterns, Distributed Systems, Github, Junit, Python (Programming Language), PostgreSQL, MongoDB, NoSQL, Object-Oriented Software Development, Oracle (Applications), Scrum Methodology, Software Architecture, Redis, OpenAI, Mockito, Responsive Web Design, Software Engineering, SQL Databases, Systems Integration, TypeScript, Datadog, Enterprise Software Applications, Test-Driven Development (TDD), Spring Cloud, GitHub Copilot, LangChain, ReactJS, Retrieval-Augmented Generation, Large Language Models, Claude Code, Spring-boot, Backend, Agentic-AI, Git, Build Management, Integration Tests, Apache Kafka, Front End Software Development, Google Gemini, Restful APIs, Splunk, Docker, Jenkins, Microservices
- **Published:** October 16, 2026
- **Apply:** https://www.dice.com/job-detail/084f6809-2ea0-456b-95fe-ab5f5560dee6

## About the Role

* 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., * 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.

## Description

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., * 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.