Software Engineer III

A Software Engineer III role based in Glasgow, United Kingdom, within JPMorgan Chase's Asset & Wealth Management Client Service team. You will contribute to market-leading technology products that advance the business and deliver trusted solutions worldwide. Working in an agile environment, you will develop secure, stable, and scalable software, collaborate with a diverse team of professionals, and apply software engineering best practices to support the firm’s objectives while fostering a culture of diversity, equity, inclusion, and respect.

Responsibilities

• Develop creative software solutions, design, implement, and troubleshoot technical problems to build effective solutions.
• Contribute to expanding the digital experience offered to clients.
• Develop secure, high-quality production code, and review and debug code written by others.
• Identify opportunities to automate remediation of recurring issues to improve operational stability of applications and systems.
• Demonstrate initiative by bringing ideas, passion, and ownership to improve the team and products.
• Engage with communities of practice across Software Engineering to learn about and adopt new and emerging technologies.
• Leverage enterprise-authorized AI coding assist tools to improve code quality, delivery speed, and productivity, while validating outputs through peer review, automated testing, and secure coding standards.
• Apply knowledge of the Software Development Life Cycle toolchain, including AI-assisted development and automation, to increase value through automation.
• Contribute to a team culture of diversity, opportunity, inclusion, and respect.

Requirements

• Formal training or certification in software engineering concepts and hands-on experience delivering system design, application development, testing, and operational stability.
• Experience in backend development using Java and Spring.
• Experience in frontend development using React and front-end testing frameworks.
• Experience with messaging platforms such as Kafka.
• Familiarity with automation and continuous delivery methods.
• Solid understanding of the Software Development Life Cycle.
• Working knowledge of agile methodologies, including continuous integration/continuous delivery, application resiliency, and security.
• Practical cloud-native experience.
• Hands-on experience using enterprise-authorized AI-assisted software development tools with the ability to critically evaluate and validate AI-generated outputs.
• Understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs/outputs, and adherence to resiliency and security expectations.

Preferred qualifications, capabilities, and skills:

• Experience in asset management, wealth management, or client-facing financial technology platforms.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Exposure to event-driven architecture and distributed systems design.
• Experience with modern front-end component libraries and design systems.