About this role
Salary: £61,000 - 101,000 per year
Requirements: Formal training or certification on software engineering concepts and proficient applied experienceStrong hands-on data engineering experience with Databricks and AWSHands-on practical experience in system design, application development, testing, and operational stabilityProficiency in coding in PythonSolid understanding of agile methodologies such as CI/CD, application resiliency, and securityOverall knowledge of the Software Development Life CycleCuriosity and foundational understanding of Generative AI, large language models, and AI/ML solutionsHands-on experience using enterprise-authorized AI-assisted software development tools within the work environment, with demonstrated ability to critically evaluate and validate AI-generated outputsUnderstanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectationsExperience working within large-scale financial platforms supporting reporting, reconciliation, or controllership functionsFamiliarity with enterprise-scale data pipelines and event-driven architecturesExposure to audit-ready reporting frameworks or financial data governance practicesExperience contributing to or leading engineering communities of practice 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 problemsCreate secure and high-quality production code and maintain algorithms that run synchronously with appropriate systemsProduce architecture and design artifacts for complex applications while ensuring design constraints are met by software code developmentGather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets in support of continuous improvement of software applications and systemsProactively identify hidden problems and patterns in data and use these insights to drive improvements to coding hygiene and system architectureContribute to software engineering communities of practice and events that explore new and emerging technologiesLeverage enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity, while validating outputs through peer review, automated testing, and secure coding standardsApply 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 Technologies: AIAWSCI/CDDatabricksSupportMarketingPythonSecurityCloud More:
We are partnering directly with JPMorganChase for this role. As a Software Engineer III within our CT AWM Finance team, you will join an agile team designing and delivering trusted, market-leading technology products in a secure, stable, and scalable way. You will support critical technology solutions across multiple technical areas and business functions aligned to our business objectives. Our CT AWM Finance platform operates at enterprise scale, supporting approximately 42M accounts, 87M positions, 8M transactions, and 700k manual adjustments, delivering reliable, audit-ready reporting for MIS Finance, Product Controllers, and Regional CFO teams. We are a global leader in financial services with a first-class approach to serving clients, and we value diversity, inclusion, and reasonable accommodations. Our Corporate Functions team spans finance, risk, human resources, and marketing, helping set our businesses, clients, customers, and employees up for success.
last updated 39 week of 2026