Sr. Lead Software Engineer - HP NonStop

J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. 

Join a team where your deep technical expertise and passion for innovation directly influence the reliability and evolution of one of the most critical payment infrastructures in the financial industry. At JPMorganChase, we invest in our engineers — offering the tools, autonomy, and scale to solve complex, high-stakes challenges that matter to millions of customers and businesses worldwide. Here, your contributions don't just support a product — they help define it.

As a Senior Lead Software Engineer at JPMorganChase within the ACH line of business, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications. 

Job responsibilities

• Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
• Accountable and responsible for the management of the Prod-1 environment; Including scheduling, coordination of events, and execution.
• Participate in the Tech Compliance and NonStop Security workstreams.
• Lead Hardware, Operating System, and Resiliency events.
• Serves as a function-wide subject matter expert in one or more areas of focus
• Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s)
• Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls.
• Ability to tackle design and functionality problems independently with little to no oversight
• Software development experience with one or more of the native NonStop languages TAL, TACL, COBOL85 
• Proficiency in HP NonStop products: TACL, Pathway, EMS, ViewPoint, FUP, Enscribe, Control-M, Visual Inspect, eInspect

Preferred qualifications, capabilities, and skills

• Experience working across large infrastructure environments and distributed across multiple data centers
• Experience in Systems and Application monitoring systems and instrumentation
• Knowledge of data replication toolsets (ShadowBase experience is a bonus)
• Experience with performance and capacity monitoring tools (Prognosis, MOMI, Measure)
• Understand or have experience with Agile methodologies and Jira
• Experience in managing Technology Lifecycle Management (TLM)