SWE Data/AI Engineer in Glasgow

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III at JPMorganChase within the CT AWM Finance, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Platform: The CT AWM Finance platform operates daily at enterprise scale— ~42M accounts, ~87M positions, ~8M transactions and ~700k manual adjustments —delivering reliable, audit-ready reporting for MIS Finance, Product Controllers, and Regional CFO teams.

Job responsibilities

• 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 problems
• Create secure and high-quality production code and maintain algorithms that run synchronously with appropriate systems
• Produce architecture and design artifacts for complex applications while being accountable for 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
• Proactively 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.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and proficient applied experience
• Strong hands-on data engineering experience with Databricks and AWS
• Hands-on practical experience in system design, application development, testing, and operational stability
• Proficiency in coding in Python
• Solid understanding of agile methodologies such as CI/CD, application resiliency, and security
• Overall knowledge of the Software Development Life Cycle
• Curiosity and foundational understanding of Generative AI, large language models, and AI/ML solutions
• 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 working within large-scale financial platforms supporting reporting, reconciliation, or controllership functions
• Familiarity with enterprise-scale data pipelines and event-driven architectures
• Exposure to audit-ready reporting frameworks or financial data governance practices
• Experience contributing to or leading engineering communities of practice