Location: GLASGOW, LANARKSHIRE, United Kingdom

As a Lead Software Engineer in Credit Technology at JPMorgan Chase, you will join an agile team building secure, scalable, and resilient front-office solutions that power trading, ref data management, and P&L. You will design, develop, and troubleshoot multiple components across complex systems while partnering closely with traders and control functions to deliver reliable, low-latency workflows.

Job Responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Develops secure high-quality production code, and reviews and debugs code written by others
• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
• Applies 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.
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
• Adds to team culture of diversity, opportunity, inclusion, and respect
• Develop and integrate trading workflows and loan reference data for the Secondary Loan Trading desk.
• Build scalable, front-officefacing services that streamline trading workflow management and enhance desk productivity.
• Design, implement, and troubleshoot components end to end, accounting for upstream and downstream dependencies and technical implications.
• Translate evolving business demands into clear technical requirements and pragmatic solutions under time constraints.
• Apply structured troubleshooting to isolate root causes and resolve issues across services and data flows.
• Adhere to secure coding practices and engineering methodologies to deliver stable, maintainable systems throughout the SDLC.
• Good individual contributor, ability to work independently with minimal supervision

 

Required Qualifications, Capabilities, And Skills

• Formal training or certification in software engineering concepts and applied experience.
• Hands-on experience with system design, application development, testing, and operational stability with strong proficiency in Python.
• Experience developing, debugging, and maintaining code in large corporate environments; strong SQL and database querying skills.
• Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practice
• Advanced understanding of agile practices including CI/CD, application resiliency, and security.
• Demonstrated experience across the full Software Development Life Cycle.
• Degree in Computer Science, Computer Engineering, Mathematics, or a related technical field (or equivalent practical experience).

 

Preferred Qualifications, Capabilities, And Skills

• Familiarity with modern front-end technologies.
• Familiarity with Python, React and Web Frameworks
• Practical experience with cloud-native development (AWS).
• Knowledge of Fixed Income products, with emphasis on syndicated and secondary loans.

Carry out critical tech solutions across multiple technical areas as an integral part of an agile team