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# Full Stack Software Engineer II - Java, React

- **Company:** Jpmorganchase
- **Location:** London, UK
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), .NET Framework, Artificial Intelligence, Automation of Tests, Unit Testing, C Sharp (Programming Language), Cloud Computing, Code Generation, Software Quality, Continuous Delivery, Continuous Integration, Software Debugging, Hibernate (Java), Java Persistence API, Spring Framework, Modular Design, Search Technologies, Secure Coding, Software Engineering, Software Systems, Toolchain, ReactJS, Retrieval-Augmented Generation, Prompt Engineering, Spring-boot, Generative AI, Containerization, Kubernetes, Production Code, Apache Kafka, Front End Software Development, Code Restructuring, Microservices
- **Published:** October 1, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/full-stack-software-engineer-ii-java-react/49445955

## About the Role

reviews, and scalable design. This role offers you the opportunity to grow quickly, make a visible impact, and help shape the technology that serves millions of customers worldwide.Job responsibilitiesDesign and deliver creative software solutions, contributing to the full development lifecycle - from design and development through to technical troubleshooting and problem resolutionBuild secure, high-quality production code and review and debug code written by others to improve overall quality and maintainabilityIdentify and implement automation and sustainable fixes for recurring issues to improve the operational stability and resiliency of applications and systemsPartner in technical evaluations with external vendors, startups, and internal teams by contributing to outcomes-oriented reviews of architecture, technical capabilities, and platform fitContribute to communities of practice across software engineering by sharing knowledge, supporting adoption of modern technologies, and
promoting engineering best practicesLeverage 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 standardsApply 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 automationSupport a team culture that values diversity, opportunity, inclusion, and respectRequired qualifications, capabilities, and skillsFormal training or certification on software engineering concepts and expanding applied experienceHands-on experience contributing to system design, application development, testing, and production support and operational stabilityStrong proficiency in Java and common frameworks such as Spring Boot, Hibernate, JPA, and Spring
KafkaWorking knowledge of microservices architectures and Kafka or other messaging and event-driven architecturesExperience with automation and continuous delivery practices, including build and test automation and CI/CD pipelinesProficiency across the Software Development Life Cycle including requirements, design, implementation, testing, release, and supportGood understanding of Agile delivery, including CI/CD concepts, application resiliency, and secure engineering practicesDemonstrated ability to develop within at least one technical discipline such as cloud, data, or mobileHands-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 outputsUnderstanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to
resiliency and security expectationsPreferred qualifications, capabilities, and skillsExperience with additional languages and frameworks such as .NET (C#) and PythonFamiliarity with modern front-end technologies such as React and/or AngularExperience with container platforms and platform-as-a-service environments, including Kubernetes and Cloud FoundryFamiliarity with Generative AI tools and patterns such as prompt engineering, retrieval-augmented generation, vector search and embeddings, and safe and secure adoption practices #J-18808-Ljbffr