Be an integral part of an agile team at JPMorganChase within the Consumer and Community Banking, Cobranded Cards Team. As a Senior Lead Software Engineer (Java/AI), you will be a core technical contributor responsible for delivering secure, scalable technology products and providing technical guidance across multiple business functions. Responsibilities include mentoring technical teams and vendors; delivering high quality production code with AI assisted development tools; influencing product design, functionality, and operations; building internal tooling and developer platforms to improve productivity, observability, and reliability; serving as a subject matter expert in AI/ML applications in software engineering workflows; owning and operating systems that run 24x7 at high traffic with on call responsibilities and post mortem analysis; driving adoption of enterprise approved AI assisted engineering practices; ensuring secure coding standards, automated testing, and code reviews; and promoting reuse of effective patterns across teams. Required qualifications include 5+ years of software engineering experience, strong Java expertise, hands on design, development, testing, and operations, and demonstrated AI fluency with AI coding assistants, prompt engineering, and LLM based tools. You should have experience building internal developer tools, CLIs, dashboards, or platforms, a track record of operating systems with high uptime requirements, knowledge of SRE concepts, capacity planning, and incident response, and the ability to work independently with minimal supervision. P
Be an integral part of an agile team at JPMorganChase within the Consumer and Community Banking, Cobranded Cards Team. As a Senior Lead Software Engineer (Java/AI), you will be a core technical contributor responsible for delivering secure, scalable technology products and providing technical guidance across multiple business functions. Responsibilities include mentoring technical teams and vendors; delivering high quality production code with AI assisted development tools; influencing product design, functionality, and operations; building internal tooling and developer platforms to improve productivity, observability, and reliability; serving as a subject matter expert in AI/ML applications in software engineering workflows; owning and operating systems that run 24x7 at high traffic with on call responsibilities and post mortem analysis; driving adoption of enterprise approved AI assisted engineering practices; ensuring secure coding standards, automated testing, and code reviews; and promoting reuse of effective patterns across teams. Required qualifications include 5+ years of software engineering experience, strong Java expertise, hands on design, development, testing, and operations, and demonstrated AI fluency with AI coding assistants, prompt engineering, and LLM based tools. You should have experience building internal developer tools, CLIs, dashboards, or platforms, a track record of operating systems with high uptime requirements, knowledge of SRE concepts, capacity planning, and incident response, and the ability to work independently with minimal supervision. P
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