Role Overview
As a Software Engineer III at JPMorgan Chase within the Consumer and Community Banking 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.
Responsibilities
- Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches.
- Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems.
- Produces architecture and design artifacts for complex applications while ensuring design constraints are met.
- Gathers, analyzes, and develops visualizations from large, diverse data sets for continuous improvement.
- Proactively identifies hidden problems and patterns in data to drive improvements to coding hygiene and system architecture.
- Contributes to software engineering communities of practice and explores new and emerging technologies.
- Leverages enterprise-authorized AI coding assist tools to improve code quality, delivery speed, and productivity.
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including automation capabilities.
Requirements
- Formal training or certification on software engineering concepts and 3+ years applied experience.
- Hands-on practical experience in system design, application development, testing, and operational stability.
- Proficient in coding in one or more languages.
- Experience in developing, debugging, and maintaining code in a large corporate environment.
- Overall knowledge of the Software Development Life Cycle.
- Solid understanding of Agile methodologies such as CI/CD, Application Resiliency, and Security.
- Demonstrated knowledge of software applications and technical processes (e.g., Cloud, Artificial Intelligence, Machine Learning).
- Hands-on experience using enterprise-authorized AI-assisted software development tools.
- Understanding of responsible AI use in engineering workflows, including data sensitivity and security.
Skills
- Java
- Agile Methodologies
- CI/CD
- Artificial Intelligence
- Cloud Computing