Software Engineer III – GenAI, Python, AWS

J.P. Morgan; Glasgow; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading global financial services firm in Glasgow seeks a Software Engineer III to develop market-leading technology products. The ideal candidate will work in an agile environment, interfacing with both business and technology teams. Responsibilities include executing software solutions and proactively identifying and addressing hidden problems. Candidates should have formal training in software engineering, experience in Python, and familiarity with AI technologies. Committed to diversity and inclusion, the firm offers an environment for personal and professional growth.

Qualifications

• Formal training or certification on software engineering concepts and applied experience.
• Familiarity with Generative AI and Agentic AI libraries.
• Hands-on experience in system design, application development, automated testing.

Responsibilities

• Interface closely with the business and technology teams across the firm.
• Execute software solutions and technical troubleshooting.
• Proactively identify hidden problems and drive improvements.

Skills

Python

Generative AI

Agile methodologies

Software Development Life Cycle

Technical troubleshooting

Education

Formal training in software engineering

Tools

AWS

Docker

Job description

Market Risk Technology is responsible for providing JP Morgan's Risk Managers with the capability to assess the financial impact of various adverse market scenarios at a firm wide level. This capability covers calculations, scenario analysis, analytics, reporting and other tools and processes required to manage risk.Our team are responsible for developing Agentic AI based solutions, which help our users streamline their day-to-day roles.

As a Software Engineer III at JPMorgan Chase within Market Risk Technology, 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.

Job responsibilities:

• Interface closely with the business, quantitative research analysts, and upstream as well as downstream technology teams across the firm
• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Work in an Agile environment, always looking to improve
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Contributes to software engineering communities of practice and events that explore new and emerging technologies
• Adds to team culture of diversity, Opportunity, inclusion, and respect

Required qualifications, capabilities, and skills:

• Formal training or certification on software engineering concepts and applied experience
• Professional development experience with Python
• Familiarity with Generative AI, specifically LLM Orchestration and Agentic AI libraries
• Comprehensive knowledge of the Software Development Life Cycle
• Hands-on practical experience in system design, application development, automated testing, and operational stability
• Experience communicating to business facing customers and technical teams

Preferred qualifications, capabilities, and skills:

• Familiarity with Banking/Finance/Risk domains.
• Experience in designing and implementing pipelines using Retrieval-Augmented Generation (RAG).
• Experience with cloud computing platforms (e.g. AWS) & containerization technologies (e.g. Docker).