JPMorgan Chase—Senior Manager of Software Engineering

Job description

Description: This is your chance to change the path of your career and guide multiple teams to success at one of the world's leading financial institutions. As a Manager of Software Engineering at JPMorganChase within the Employee Platforms team you lead multiple teams 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 - 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 - Leads team adoption of enterprise-authorized AI-assisted engineering practices and SDLC/TLM automation to improve delivery speed, quality, and operational outcomes, while setting expectations for human validation, secure handling of inputs/outputs, and consistent use of reusable patterns 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. - 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 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 - Experience managing technologists - Experience leading responsible adoption of enterprise-authorized AI-assisted development and delivery tools across engineering teams, including defining ways of working (review/validation expectations), measuring outcomes, and ensuring secure handling of data. - Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, resiliency/security implications, and governance expectations; ability to coach engineers on compliant and effective usage. - Proficient in all aspects of the Software Development Life Cycle - Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security - In-depth knowledge of the financial services industry and their IT systems - Practical cloud native experience (AWS) - Practical cloud native experience Preferred qualifications, capabilities, and skills - Leading Full stack enterprise grade applications and teams ( Java as backend, Frontend as React or similar, Cloud as hosting platform) - Experience working with global stakeholders - Leading AI transformation journey within team - Domain understanding of Agentic workflows - MCP, Agents, workflows