Lead Software Engineer - 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 expertise directly shapes the reliability and performance of mission-critical payment platforms trusted by clients around the world. At JPMorganChase, you'll work alongside talented engineers, lead complex technical initiatives, and be part of a culture that values innovation, collaboration, and continuous growth. As a Lead HP NonStop Tandem Developer at JPMorganChase within the Commercial & Investment Bank Payments Technology team, you will be a senior technical contributor on an agile team responsible for designing, developing, testing, and supporting reliable, market-leading technology products. You will lead the delivery of solutions on mission-critical payment platforms that demand the highest levels of stability, security, resiliency, and scalability. You will apply deep technical expertise across HP NonStop Tandem technologies, software engineering practices, production support, and application enhancement initiatives, while guiding and mentoring fellow engineers and driving continuous improvement across the team. Job responsibilities Lead the design, development, testing, and technical troubleshooting of HP NonStop Tandem-based applications, ensuring solutions meet the highest standards of quality, security, and resiliency Architect and deliver secure, stable, and high-quality production code across payments and cards processing platforms, applying advanced engineering judgment to solve complex technical problems Drive technical solutions using HP NonStop Tandem technologies including COBOL, SCOBOL, TACL, Pathway, Batchcom, NetBatch, FUP, KLIST, Enform, and related utilities Design, review, and optimize SQL queries in support of application development, data analysis, and production issue resolution Produce architecture and design artifacts for complex applications, ensuring design constraints are met and engineering standards are upheld throughout the software development lifecycle Lead agile ceremonies and collaborate closely with product owners, business analysts, quality assurance teams, operations teams, and engineers to deliver high-impact outcomes Champion Software Development Life Cycle best practices including continuous integration and delivery, application resiliency, Scrum, Jira, Bitbucket, automated testing, deployment, and release management Proactively identify systemic issues, recurring patterns, and architectural risks, translating insights into improvements in coding hygiene, resiliency, and platform stability Guide and mentor engineers on technical standards, HP NonStop Tandem best practices, and responsible use of AI-assisted development tools Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team 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 advanced applied experience Hands-on practical experience leading system design, application development, testing, debugging, implementation, and operational stability across complex platforms Deep expertise working with HP NonStop Tandem platforms and advanced proficiency in COBOL, SCOBOL, and TACL Extensive experience with HP NonStop Tandem tools and utilities such as Pathway, Batchcom, NetBatch, FUP, KLIST, Enform, and related platform components Strong experience writing, analyzing, optimizing, and troubleshooting SQL queries in complex application environments Demonstrated experience in payments, cards processing, banking technology, or financial services, including knowledge of payment brands such as Visa or Mastercard Proven ability to lead within agile engineering environments, applying 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 influence and collaborate 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, 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 Preferred qualifications, capabilities, and skills Experience supporting high-volume, high-availability transaction processing platforms at enterprise scale Knowledge of point-of-sale simulators and payment brand simulators such as Visa, Mastercard, Discover, or similar platforms Familiarity with Control-M or other enterprise scheduling tools Knowledge of additional programming languages such as C++, Python, or Java Exposure to cloud technologies and modern software engineering practices Experience leading or contributing to appl