Java Software Engineer – Cloud, AI & Big Data

JP Morgan Chase; Glasgow; On-site; GBP 62,000 - 102,000; Full time

Job summary

JPMorganChase in the United Kingdom seeks a skilled software engineer to design and maintain scalable Java applications within a large corporate environment. You will work across the SDLC, applying agile practices and secure coding standards to deliver reliable, production-grade systems.

You will leverage AWS cloud technologies and AI-assisted development tools, with a focus on resiliency, security, and data-driven improvements across product teams.

Qualifications

• Formal training or certification in software engineering concepts with proficient applied experience.
• Hands-on experience in system design, application development, testing, and operational stability.
• Proficiency in Java.

Responsibilities

• Design and develop scalable and resilient systems using Java.
• Execute software solutions including design, development, and troubleshooting beyond routine methods.
• Create secure, high-quality production code and maintain algorithms that run with related systems.
• Produce architecture and design artifacts ensuring constraints are met through code development.
• Analyze large, diverse data sets to support continuous improvement of software applications and systems.
• Identify hidden problems and patterns in data to improve coding hygiene and architecture.
• Contribute to software engineering communities and explore new technologies.
• Leverage AI coding assist tools to improve quality, delivery speed, and productivity with peer review and secure coding standards.
• Apply tools across the Software Development Life Cycle to improve automation value.
• Contribute to a team culture of diversity, opportunity, inclusion, and respect.

Skills

Java

Agile methodologies

CI/CD

Security

Tools

AWS

AI-assisted development tools

Job description

JPMorganChase in the United Kingdom seeks a skilled software engineer to design and maintain scalable Java applications within a large corporate environment. You will work across the SDLC, applying agile practices and secure coding standards to deliver reliable, production-grade systems.

You will leverage AWS cloud technologies and AI-assisted development tools, with a focus on resiliency, security, and data-driven improvements across product teams.