Software Engineer II - Asset & Wealth Management Technology

You’re ready to gain the skills and experience needed to grow within your role and advance your career — and we have the perfect software engineering opportunity for you. As a Software Engineer II at JPMorgan

Chase within the Asset & Wealth Management Technology organization, you are part of an agile team that works to enhance, design, and deliver the software components of the firm’s state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.

• Executes standard software solution, design, development, and technical troubleshooting

• Writes secure and high-quality code using the syntax of at least one programming language with limited guidance

• Leverages 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.

• Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications

• 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

• Applies technical troubleshooting to breakdown solutions and solve technical problems of basic complexity

• Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development

• Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems

• Formal training or certification on software engineering concepts and 2+ years applied experience

• Hands-on practical experience in system design, application development, testing, and operational stability in a data processing and production environment

• Experience developing, debugging, and maintaining code in a large corporate environment with modern programming languages (Python) and database querying languages (SQL)

• Strong fundamentals with databases

• 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

• Overall knowledge of the Software Development Life Cycle, including code review, testing strategies, release practices, and operational support

• Understanding of agile methodologies and modern engineering practices such as CI/CD, application resiliency, and security

• Working knowledge of AWS cloud concepts and services