Java Software Engineer III
Summary
Designs and builds secure, scalable Java systems for banking features, trading, or payments while using AI-assisted tools and agile practices in a Glasgow-based team.
Push the limits of what's possible with us as an experienced member of our Software Engineering team.
As a Software Engineer at JPMorganChase within the CIB – Markets Technology, you are an integral part of an agile team that works to enhance, build, and deliver trusted, market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for delivering critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Job Responsibilities
- Design and develop scalable and resilient systems using Java to contribute to continual, iterative improvements for product teams
- Execute software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problem
- Create secure and high-quality production code and maintain algorithms that run synchronously with appropriate systems
- Produce and contribute to architecture and design artifacts for applications while ensuring design constraints are met by software code development
- Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
- Identify hidden problems and patterns in data and use these insights to drive improvements to coding hygiene and system architecture
- Contribute to software engineering communities of practice and events that explore new and emerging technologies
- 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
- Add to team culture of diversity, opportunity, inclusion, and respect
Required qualifications, capabilities, and skills
- Proficient in coding in Java 8/11/17 and above
- Demonstrated, hands-on expertise in Spring Boot for building RESTful microservices, including configuration, dependency injection, and production-ready deployments.
- Hands-on practical experience in system design, application development, testing, and operational stability
- Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
- Overall knowledge of the Software Development Life Cycle
- Solid understanding of agile methodologies such as continuous integration/continuous delivery, Application Resiliency, and Security
- 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 etc.)
Preferred qualifications, capabilities, and skills
- Familiarity with modern front-end technologies
- Exposure to cloud technologies, specifically Amazon Web Services (AWS)
- Familiarity with NoSQL database such as Cassandra/MongoDb