Senior Manager of Software Engineering - Fullstack/AWS/API

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Senior Manager of Software Engineering at JPMorgan Chase within the Consumer and Community Banking technology - Lending Innovation, you lead a team and manage day-to-day implementation activities by identifying and escalating issues and ensuring your team's work adheres to compliance standards, business requirements, and tactical best practices.

Job responsibilities:


* Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems


* 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.


* Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies


* Provides guidance to immediate team of software engineers on daily tasks and activities


* Sets the overall guidance and expectations for team output, practices, and collaboration


* Anticipates dependencies with other teams to deliver products and applications in line with business requirements


* Manages stakeholder relationships and the team's work in accordance with compliance standards, service level agreements, and business requirements


* Creates a culture of diversity, opportunity, inclusion, and respect for the team members and prioritizes diverse representation

Required qualifications, capabilities, and skills:


* Formal training or certification on software engineering concepts and 5+ years applied experience.

.in addition, demonstrated coaching and mentoring experience


* 10+ years of professional software engineering experience in Software Development Life Cycle (SDLC) and developer tools utilization.


* 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 a...