About the role
from listingServe as an emerging member of an agile team to design and deliver market-leading technology products in a secure and scalable way
Join JPMorganChase, where your ideas and ambitions are supported by a team committed to innovation, collaboration, and meaningful impact. As a Software Engineer II, you'll have the opportunity to grow your technical skills while contributing to solutions that matter — at a firm that invests in your development every step of the way.
As a Software Engineer II at JPMorganChase within the Cash Asset Management team in the Commercial & Investment Bank, you are part of an agile team that works to enhance, design, and deliver 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.
Job responsibilities
Execute standard software solutions through design, development, and technical troubleshooting across multiple system components
Write secure, high-quality code using at least one modern programming language with limited guidance
Design, develop, and troubleshoot with consideration of upstream and downstream systems and their technical implications
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
Apply technical troubleshooting skills to break down and resolve problems of basic complexity
Gather, analyze, and draw conclusions from large, diverse data sets to support decision-making in service of secure, stable application development
Learn and apply system processes, methodologies, and best practices for the development of secure, stable code and systems
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
Experience developing, debugging, and maintaining code in a large-scale environment using one or more modern programming languages and database querying languages
Experience across the full Software Development Life Cycle
Exposure to agile methodologies such as CI/CD, application resiliency, and security practices
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 cloud-based development environments and distributed systems
Exposure to cash management, payments, or financial services technology domains
Experience contributing to code reviews and collaborative development practices within an agile team
Familiarity with monitoring, observability, or performance tuning tools in a production environment