Python Software Engineer III

JPMorgan Chase & Co.; Glasgow; On-site; GBP 65,000 - 90,000; Full time

Job summary

JPMorganChase in Glasgow is seeking a Software Engineer III within the Data Science Engineering team of Asset & Wealth Management. You will join an agile team to design and deliver trusted, scalable tech products while ensuring security and reliability.

Responsibilities include building production-grade code, applying AI-assisted development tools, designing complex architectures, and deriving insights from large data sets to improve software systems.

Qualifications

• Formal training or certification in software engineering concepts and practical experience.
• Proficiency in Python and strong SQL skills for data workflows.
• Hands-on experience in system design, development, testing, and operational stability.
• Experience using enterprise AI-assisted development tools with evaluation and validation of AI outputs.
• Understanding of responsible AI use, data sensitivity, and secure handling of inputs/outputs.
• Knowledge of the Software Development Life Cycle and CI/CD practices.

Responsibilities

• Execute software solutions, design, develop, and troubleshoot complex problems beyond routine approaches.
• Create secure, high-quality production code and maintain performance-focused algorithms.
• Leverage enterprise AI tooling to improve code quality, speed, and productivity with peer review.
• Utilize SDLC tools to enhance automation and overall project value.
• Produce architecture and design artifacts for complex applications and ensure constraints are met.
• Gather and transform large data sets into visualizations and reporting to drive improvements.
• Identify hidden data patterns to drive improvements in coding hygiene and system architecture.

Skills

Python

SQL

PySpark

Snowpark

AI-assisted development

System design

Software testing

Security

CI/CD

Agile methodologies

Education

STEM degree

Tools

PySpark

Snowpark

Job description

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 Data Science Engineering team in Asset & Wealth Management, 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.

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
• 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
• 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

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and proficient applied experience
• Proficiency in Python is essential, with strong working knowledge of SQL, PySpark, Snowpark, or similar tools for data engineering and analytical workflows
• Hands-on practical experience in system design, application development, testing, and operational stability
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices
• Overall knowledge of the Software Development Life Cycle
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Preferred qualifications, capabilities, and skills

• Degree in a STEM subject
• Exposure to cloud technologies
• Knowledge of financial markets, particularly equities, is advantageous but not required