Software Engineer III - HP Nonstop Development

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. Join a team where your contributions directly power mission-critical payment platforms trusted by clients around the world. At JPMorganChase, you'll grow alongside talented engineers, work on complex and meaningful problems, and be part of a culture that values collaboration, innovation, and continuous learning.
As an HP NonStop Tandem Developer at JPMorganChase within the Commercial & Investment Bank Payments Technology team, you will be an experienced member of an agile team responsible for designing, developing, testing, and supporting reliable, market-leading technology products. You will work on mission-critical payment platforms that require high levels of stability, security, resiliency, and scalability. In this role, you will apply your technical expertise across HP NonStop Tandem technologies, software engineering practices, production support, and application enhancement initiatives. You will collaborate with cross-functional teams to deliver high-quality solutions, troubleshoot complex issues, improve system performance, and contribute to continuous improvement across applications and engineering processes.
Job responsibilities
Execute software solutions across design, development, testing, and technical troubleshooting for HP NonStop Tandem-based applications
Design, develop, enhance, and maintain secure, stable, and high-quality production code across payments and cards processing platforms
Work with HP NonStop Tandem technologies including COBOL, SCOBOL, TACL, Pathway, Batchcom, NetBatch, FUP, KLIST, Enform, and related utilities
Develop, review, and troubleshoot SQL queries in support of application development, data analysis, and production issue resolution
Produce architecture and design artifacts for complex applications while ensuring design constraints are met through software development
Participate in agile ceremonies and collaborate with product owners, business analysts, quality assurance teams, operations teams, and fellow engineers
Apply knowledge of Software Development Life Cycle tools and practices, including continuous integration and delivery, application resiliency, Scrum, Jira, Bitbucket, testing, deployment, and release management
Proactively identify hidden problems, recurring issues, and patterns in application behavior, using insights to improve coding hygiene, resiliency, and system architecture
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
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
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, debugging, implementation, and operational stability
Strong experience working with HP NonStop Tandem platforms and proficiency in COBOL, SCOBOL, and TACL
Experience with HP NonStop Tandem tools and utilities such as Pathway, Batchcom, NetBatch, FUP, KLIST, Enform, and related platform components
Practical experience writing, analyzing, and troubleshooting SQL queries
Experience working in payments, cards processing, banking technology, or financial services environments, including knowledge of payment brands such as Visa or Mastercard
Exposure to agile methodologies and engineering practices such as Scrum, continuous integration and delivery, application resiliency, automated testing, and production support
Strong troubleshooting, analytical, and problem-solving skills with the ability to work effectively across technology, product, operations, and business stakeholders
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