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# Full Stack Software Engineer II - Java, React

- **Company:** JPMorgan Chase & Co.
- **Location:** Greater London, UK
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), .NET Framework, Artificial Intelligence, Automation of Tests, Unit Testing, C Sharp (Programming Language), Cloud Foundry, Code Generation, Software Quality, Continuous Delivery, Continuous Integration, Software Debugging, Hibernate (Java), Java Persistence API, Spring Framework, Python (Programming Language), Software Tools, Search Technologies, Secure Coding, Software Engineering, Software Systems, Toolchain, ReactJS, Retrieval-Augmented Generation, Prompt Engineering, Spring-boot, Generative AI, Event Driven Architecture, Containerization, AngularJS, Kubernetes, Production Code, Apache Kafka, Front End Software Development, Code Restructuring, Microservices
- **Published:** September 8, 2026
- **Apply:** https://www.collegerecruiter.com/job/2858064929-full-stack-software-engineer-ii-java-react

## About the Role

* Formal training or certification on software engineering concepts and expanding applied experience
 * Hands-on experience contributing to system design, application development, testing, and production support and operational stability
 * Strong proficiency in Java and common frameworks such as Spring Boot, Hibernate, JPA, and Spring Kafka
 * Working knowledge of microservices architectures and Kafka or other messaging and event-driven architectures
 * Experience with automation and continuous delivery practices, including build and test automation and CI/CD pipelines
 * Proficiency across the Software Development Life Cycle including requirements, design, implementation, testing, release, and support
 * Good understanding of Agile delivery, including CI/CD concepts, application resiliency, and secure engineering practices
 * Demonstrated ability to develop within at least one technical discipline such as cloud, data, or mobile
 * Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs
 * Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations

Preferred qualifications, capabilities, and skills

 * Experience with additional languages and frameworks such as .NET (C#) and Python
 * Familiarity with modern front-end technologies such as React and/or Angular
 * Experience with container platforms and platform-as-a-service environments, including Kubernetes and Cloud Foundry
 * Familiarity with Generative AI tools and patterns such as prompt engineering, retrieval-augmented generation, vector search and embeddings, and safe and secure adoption practices

## Description

* Design and deliver creative software solutions, contributing to the full development lifecycle - from design and development through to technical troubleshooting and problem resolution
 * Build secure, high-quality production code and review and debug code written by others to improve overall quality and maintainability
 * Identify and implement automation and sustainable fixes for recurring issues to improve the operational stability and resiliency of applications and systems
 * Partner in technical evaluations with external vendors, startups, and internal teams by contributing to outcomes-oriented reviews of architecture, technical capabilities, and platform fit
 * Contribute to communities of practice across software engineering by sharing knowledge, supporting adoption of modern technologies, and promoting engineering best practices
 * Leverage enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards
 * Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation
 * Support a team culture that values diversity, opportunity, inclusion, and respect


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