Director of Software Engineering - C&SI Originations

If you are a software engineering leader ready to take the reins and drive impact, we’ve got an opportunity just for you. As a Director of Software Engineering at JPMorganChase within Commercial & Investment Bank - Commercial & Specialized Industries , you lead a technical area and drive impact within teams, technologies, and projects across departments. Utilize your in-depth knowledge of software, applications, technical processes, and product management to drive multiple complex projects and initiatives, while serving as a primary decision maker for your teams and be a driver of innovation and solution delivery. Job responsibilities - Leads technology and process implementations to achieve functional technology objectives - Accountable for decisions that influence teams’ resources, budget, tactical operations, and the execution and implementation of processes and procedures - Sets direction and governance for agentic AI-enabled engineering and SDLC/TLM automation within a technical area to drive measurable improvements in speed, quality, and operational outcomes (e.g., AI-orchestrated delivery workflows, release readiness controls, automated test modernization, and incident triage acceleration), while establishing guardrails for validation, security, resiliency, traceability, and reuse across teams. - 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 and support capacity unlock initiatives at scale. - Carries governance accountability for coding decisions, control obligations, and measures of success such as cost of ownership, maintainability, and portfolio operations - Delivers technical solutions that can be leveraged across multiple businesses and domains - Influences peer leaders and senior stakeholders across the business, product, and technology teams Required qualifications, capabilities, and skills - Formal training or certification on software engineering concepts and 10+ years applied experience. In addition, 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise - Experience developing or leading cross-functional teams of technologists - Experience with hiring, developing, and recognizing talent - Experience leading adoption of agentic AI-enabled engineering practices (using enterprise-authorized tools within the work environment) across teams, including defining operating expectations (human-in-the-loop validation, quality gates), measuring outcomes, and ensuring secure handling of sensitive inputs/outputs. - Strong understanding of responsible AI use and control expectations in engineering workflows, including data sensitivity, resiliency/security implications, and governance; ability to influence leaders on safe scaling patterns and reuse. - Practical cloud native experience - Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field Preferred qualifications, capabilities, and skills - Experience with Spring, SpringBoot and Python FastAPI frameworks. - Experience with React / Angular or similar UX frameworks. - Experience with cloud computing platforms: AWS, Azure, CloudFoundary. - Experience designing and building distributed microservice based systems and deploying cloud-native microservices in large-scale distributed environments. - Experience with Domain Modelling, systems design, and experience developing and debugging production-quality code. - Exposure to prompt engineering practices for large language models. - Familiarity with the financial services industry and lending.