Python Lead Software Engineer

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

Job summary

J.P. Morgan in Glasgow is seeking a software engineer to design, develop, and operate secure, scalable front-office services for the Secondary Loan Trading desk.

You will apply AI-assisted engineering practices and work across the full SDLC to deliver high-quality production code. The role requires Python, React, SQL, AWS, and modern front-end technologies, plus a strong foundation in CI/CD, application resiliency, and secure coding.

Qualifications

• Formal training or certification in software engineering concepts.
• Experience with system design, development, testing, and operations.
• Strong Python, SQL, and database querying skills.
• Experience leading AI-assisted software development practices.
• Understanding of responsible AI in engineering workflows.
• Experience coaching engineers on AI tool adoption.
• Advanced understanding of CI/CD, resiliency, and security.
• Experience across the full SDLC.

Responsibilities

• Execute creative software solutions and troubleshoot technical problems.
• Develop secure, high-quality production code and review peers' work.
• Drive adoption of enterprise AI-assisted engineering practices.
• Leverage SDLC tools to improve automation and value.
• Lead communities of practice and promote inclusive team culture.
• Develop and integrate trading workflows and reference data.
• Build scalable, front-office services to streamline workflows.
• Design end-to-end components with awareness of dependencies.
• Translate business needs into technical requirements under time constraints.
• Apply structured troubleshooting to resolve cross-service issues.
• Adhere to secure coding practices and work independently.

Skills

Python

SQL

React

Front-end technologies

CI/CD

Agile practices

Cloud-native development

Education

Degree in Computer Science/Engineering/Mathematics or related field

Tools

AWS

Job description

Salary: £62,000 - 102,000 per year

Requirements

• 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, 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 and outputs, and adherence to resiliency and security expectations.
• Experience coaching engineers on safe, compliant adoption of AI-assisted tools 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.
• 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.

Responsibilities

• Execute creative software solutions, design, development, and technical troubleshooting to build solutions and break down technical problems.
• Develop secure, high-quality production code, and review and debug code written by others.
• Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes.
• Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve automation value.
• Lead communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies.
• Contribute to a 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-office-facing 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.
• Work independently with minimal supervision.

Technologies

• AI
• AWS
• CI/CD
• Cloud
• Python
• React
• SQL
• Security
• Web
• Support

More

We are J.P. Morgan, a global leader in financial services serving corporations, governments, wealthy individuals, and institutional investors. Our Commercial & Investment Bank is a global leader across banking, markets, securities services, and payments, operating in more than 100 countries. In this role, we are building secure, scalable, and resilient front-office solutions within Credit Technology to power trading, reference data management, and P&L. We offer a first-class business in a first-class way approach, value trusted long-term partnerships, and place a high value on diversity, inclusion, and reasonable accommodations where needed.

last updated 36 week of 2026