SWE Data/AI Engineer

Aumni; Glasgow; Sur place; GBP 70 000 - 110 000; Plein temps

Résumé du poste

JPMorganChase is seeking a Software Engineer III within Corporate Technology Asset & Wealth Management Finance to join an agile team delivering trusted technology products at enterprise scale. The role involves designing secure, scalable software, developing production-grade code, and contributing to architecture for complex applications across multiple business functions.

The candidate will work with Python, Databricks, and AWS, applying modern SDLC practices, and exploring AI-assisted

Qualifications

• Formal training or certification on software engineering concepts and proficient applied experience.
• Strong hands-on data engineering experience with Databricks and AWS.
• Hands-on practical experience in system design, application development, testing, and operational stability.
• Proficiency in coding in Python.
• Solid understanding of agile methodologies such as CI/CD, application resiliency, and security.
• Overall knowledge of the Software Development Life Cycle.
• Curiosity and foundational understanding of Generative AI, large language models, and AI/ML solutions.
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment with demonstrated ability to critically evaluate and validate AI-generated outputs.

Responsabilités

• Execute software solutions, design, development, and troubleshooting with the ability to go beyond routine approaches.
• Create secure production code and maintain algorithms that run with supporting systems.
• Produce architecture and design artifacts for complex applications and ensure design constraints are met.
• Analyze large data sets to develop visualizations and reporting for continuous improvement.
• Identify hidden data patterns to improve coding hygiene and system architecture.
• Contribute to engineering communities of practice and explore new technologies.
• Leverage AI coding assist tools to improve code quality, speed, and productivity with peer review.

Connaissances

Python

CI/CD

Generative AI

Security

Software architecture

Outils

Databricks

AWS

Description du poste

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 CT AWM Finance, 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.

Platform: The CT AWM Finance platform operates daily at enterprise scale— ~42M accounts, ~87M positions, ~8M transactions and ~700k manual adjustments —delivering reliable, audit-ready reporting for MIS Finance, Product Controllers, and Regional CFO teams.

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
• 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
• Contribute to software engineering communities of practice and events that explore new and emerging technologies
• 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.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and proficient applied experience
• Strong hands-on data engineering experience with Databricks and AWS
• Hands-on practical experience in system design, application development, testing, and operational stability
• Proficiency in coding in Python
• Solid understanding of agile methodologies such as CI/CD, application resiliency, and security
• Overall knowledge of the Software Development Life Cycle
• Curiosity and foundational understanding of Generative AI, large language models, and AI/ML solutions
• 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

• Experience working within large-scale financial platforms supporting reporting, reconciliation, or controllership functions
• Familiarity with enterprise-scale data pipelines and event-driven architectures
• Exposure to audit-ready reporting frameworks or financial data governance practices
• Experience contributing to or leading engineering communities of practice

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. 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 Corporate Technology Asset & Wealth Management Finance team, 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. The Corporate Technology Asset & Wealth Management Finance platform operates daily at enterprise scale — approximately 42M accounts, 87M positions, 8M transactions, and 700k manual adjustments — delivering reliable, audit-ready reporting for Management Information Systems Finance, Product Controllers, and Regional CFO teams.