Software Engineer III - Java

JPMorgan Chase · Bournemouth

Join one of the world's most innovative financial institutions and help shape the future of real-time liquidity management. At JPMorganChase, you'll work on technology that matters — platforms that give senior executives instant visibility into the firm's cash, credit, and collateral positions across the globe. This is your opportunity to grow your engineering career while contributing to solutions that directly impact how one of the world's largest financial institutions manages risk.

As a Software Engineer III at JPMorganChase within the Cash Account Platform team, you will be part of a global Agile engineering team based in Bournemouth, building and evolving a suite of applications that support firmwide intraday liquidity management. You will contribute to real-time dashboards, cash forecasting, and funding functions that serve senior executives and institutional clients. Your work will directly support the firm's strategic push toward cloud-native architecture and modern engineering practices.

The Cash Account Platform is a firm-wide strategic initiative that provides real-time visibility into Cash, Credit, and Collateral balances at the Firmwide, Line of Business, and Institutional Client level. As part of the Bournemouth development team, you will collaborate with engineers across multiple global locations, contributing to a platform that is central to the firm's risk management, oversight, and reporting capabilities.

Job responsibilities

Execute software solutions across design, development, and technical troubleshooting, thinking beyond conventional approaches to solve complex engineering challenges
Create secure, high-quality production code and maintain algorithms that operate synchronously with critical financial systems
Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets to drive continuous improvement of software applications
Proactively identify hidden problems and patterns in data, using insights to improve 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
Champion a team culture of diversity, opportunity, inclusion, and respect

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 Java 8 and above, including strong working knowledge of the Java ecosystem
Solid understanding of the Spring framework and its ecosystem
Hands-on practical experience with relational database management systems
Experience developing, debugging, and maintaining code in a large-scale environment using modern programming languages and database querying languages
Demonstrated understanding of the Software Development Life Cycle and agile methodologies, including continuous integration and delivery, application resiliency, and security practices
Demonstrated knowledge of software applications and technical processes within a technical discipline such as cloud, artificial intelligence, machine learning, or mobile
Hands-on experience with Unix/Linux operating systems
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

Familiarity with modern front-end technologies such as JavaScript and React
Experience with DevOps practices including continuous integration and continuous deployment tools such as Jenkins and SonarQube
Exposure to job scheduling tools such as Autosys or Control-M
Exposure to cloud technologies and cloud-native development patterns
Exposure to NoSQL databases

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.

Build real-time financial platforms that shape how a global firm manages intraday liquidity and cash at scale.

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