Lead Software Engineer - Regulatory Reporting

Lead Software EngineerWe have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.As a Lead Software Engineer at JPMorganChase within External Reporting and Financial Technology, you are an integral part of an agile team focused on using AI, automation, and modern engineering tools to build, evolve, and support the Last Mile Reporting platform architecture and infrastructure. As a core technical contributor, you will design scalable solutions, improve platform reliability, and help deliver trusted regulatory and financial reporting capabilities in a secure, stable, and efficient way.Job responsibilitiesDesigns, builds, and improves Last Mile Reporting platform architecture and infrastructure using AI-assisted engineering, automation, and modern software development practicesDevelops secure, high-quality production code in mainstream programming languages such as Python, Java, and related technologies, and reviews and debugs code written by othersApplies AI prompt engineering, agent-based workflows, and automation techniques to accelerate development, improve operational stability, and reduce recurring manual effortPartners with technology, product, and reporting stakeholders to evaluate architectural options, AI-enabled tools, data flows, controls, and integration patterns for regulatory and financial reporting solutionsLeads adoption of new and emerging engineering practices, including AI-assisted development, prompt engineering, and agent building, while promoting secure and responsible technology useAdds to team culture of diversity, opportunity, inclusion, and respectRequired qualifications, capabilities, and skills5+ years of relevant software engineering experience, including hands-on delivery and support of enterprise technology platformsDemonstrated experience building and supporting regulatory and/or financial reporting applications in production environmentsStrong understanding of application, platform, and data architecture, including scalable infrastructure, integration patterns, reliability, resiliency, and operational supportHands-on programming experience in Python, Java, or other mainstream programming languages, with the ability to design, build, test, and maintain high-quality codeHands-on practical experience delivering system design, application development, testing, deployment, monitoring, and operational stability for complex applicationsPractical experience using AI tools to improve software engineering productivity, code quality, documentation, testing, and platform operationsExperience with AI prompt engineering, including the ability to create, refine, and evaluate prompts for engineering, documentation, analysis, and workflow automation use casesExperience designing or building AI-enabled workflows, assistants, or agents that support development, data analysis, reporting, or operational processesStrong understanding of cloud architecture and infrastructure, including AWS, Kubernetes, containerized deployment patterns, CI/CD, application resiliency, security, monitoring, and modern DevOps practicesStrong SQL and data analysis skills, with an understanding of data modeling, reporting data flows, data quality, reconciliations, and controlsBasic understanding of financial and regulatory concepts, including reporting requirements, controls, data lineage, and financial data interpretationPreferred qualifications, capabilities, and skillsHands-on experience with Axiom ControllerView or similar regulatory reporting platforms is a big plusExperience applying AI, machine learning, large language models, or agent frameworks to enterprise software engineering, reporting, or operations use casesExperience with financial services technology environments, regulatory change initiatives, audit/control processes, or enterprise reporting modernizationExperience with Databricks or similar cloud-based data engineering and analytics platforms