Develops secure, scalable Java applications for JPMorganChase’s Asset and Wealth Management Technology team. Responsibilities include distributed systems design, AWS deployment, production coding, architecture, testing, troubleshooting, data analysis, and operational stability. The role uses Spring Boot, Kafka, agile methodologies, CI/CD, and authorized AI-assisted development tools. It also requires collaboration with business stakeholders, responsible AI practices, and knowledge of financial-services technology.
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As Software Engineer III at JPMorganChase within Asset and Wealth Management Technology 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.
Job responsibilities
- Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
- Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
- Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
- 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.
- Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
- Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
- Proactively identifies hidden problems and patterns in data and uses 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 3+ years applied experience
- Hands-on practical experience delivering complex distributed system design, application development, testing, and operational stability
- Advanced in one or more programming language(s) - Java
- Practical cloud native experience - designing, building and deploying applications on Amazon Web Services (AWS)
- Advanced knowledge of Spring Boot and Kafka
- Experience in technology/business stakeholder interactions
- 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.
- Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
- In-depth knowledge of the financial services industry and their IT systems.
Preferred qualifications, capabilities, and skills
- Basic/Intermediate knowledge of Python
- Experience with either Snowflake or DataBricks
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