Software Engineer III - Python / AI

Next Frontier Capital; Glasgow; On-site; GBP 70,000 - 110,000; Full time

Job summary

JPMorganChase is seeking a Software Engineer III in Glasgow to design and deliver trusted, market-leading technology solutions across multiple domains. You will work in an agile team, contributing to engineering best practices and secure coding standards.

You will partner across teams to tackle complex problems, produce architecture artifacts, and help drive innovation with AI-assisted tooling while upholding resiliency, security, and data governance principles.

Qualifications

• Formal training or certification on software engineering concepts and proficient applied experience.
• Hands-on practical experience in system design, application development, testing, and operational stability.
• Proficiency in coding in one or more programming languages.
• Experience developing, debugging, and maintaining code in a large-scale environment using one or more modern programming languages and database querying languages.
• Solid understanding of the Software Development Life Cycle.
• Working knowledge of agile methodologies such as CI/CD, application resiliency, and security.
• Demonstrated knowledge of software applications and technical processes within cloud/Data/AI domains.
• Hands-on experience using enterprise AI-assisted software development tools with ability to evaluate AI outputs.

Responsibilities

• Execute software solutions across design, development, and troubleshooting, delivering scalable solutions.
• Create secure, high-quality production code and maintain algorithms that run with associated systems.
• Produce architecture and design artifacts for complex applications throughout the SDLC.
• Gather, analyze, and visualize data from large datasets to improve software applications.
• Identify patterns in data to drive improvements in coding hygiene and architecture.
• Contribute to engineering communities and events exploring new technologies.
• Foster an inclusive team culture.
• Leverage enterprise AI coding assist tools to improve code quality and speed while ensuring peer review and secure coding standards.
• Apply SDLC tools and AI-assisted development to maximize automation value.

Skills

Software architecture

Agile

CI/CD

Secure coding

AI-assisted development

Data analysis

Troubleshooting

Communication

Tools

Databricks

PySpark

AWS

Job description

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. At JPMorganChase, we believe in investing in our people — offering you the tools, mentorship, and environment to grow, innovate, and make a real impact. You'll be part of a culture that values diversity, inclusion, and continuous learning, where your contributions directly shape the technology that serves millions of customers worldwide.

As a Software Engineer III at JPMorganChase within Corporate 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. 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. In this role, you will collaborate across teams to solve complex technical challenges, contribute to engineering communities of practice, and help drive a culture of excellence and innovation.

Job responsibilities

• Execute software solutions across design, development, and technical troubleshooting, thinking beyond conventional approaches to break down complex problems and build scalable solutions
• Create secure, high-quality production code and maintain algorithms that run synchronously with appropriate systems
• Produce architecture and design artifacts for complex applications, ensuring design constraints are met throughout the software code development lifecycle
• 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, using 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
• Foster a team culture of diversity, opportunity, inclusion, and respect
• Leverages 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
• 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

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and proficient applied experience
• Hands-on practical experience in system design, application development, testing, and operational stability
• Proficiency in coding in one or more programming languages
• Experience developing, debugging, and maintaining code in a large-scale environment using one or more modern programming languages and database querying languages
• Solid understanding of the Software Development Life Cycle
• Working knowledge of agile methodologies such as continuous integration/continuous delivery, application resiliency, and security
• Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, Databricks, PySpark, artificial intelligence, machine learning, mobile, etc.)
• 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

• Exposure to cloud technologies such as Amazon Web Services or equivalent cloud platforms
• Experience with Databricks and agentic AI solutions
• Familiarity with modern front-end technologies and frameworks
• Experience working in a large enterprise environment with cross-functional engineering teams

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success. Take your software engineering career to the next level — build trusted, scalable technology solutions that power a global financial institution.