JPMorgan Chase—Manager of Software Engineering - Java

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 JPMorgan Chase within the API Marketplace group in Consumer & Community Banking Technology, you will lead multiple engineering teams and oversee day-to-day implementation activities, proactively identifying and escalating issues while ensuring that all deliverables align with compliance standards, business requirements, and established 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 - A Formal training or certification on software engineering* concepts and 5+ years applied experience. In addition, demonstrated coaching and mentoring experience - Experience leading technology projects - Experience managing technologists - Full-stack expertise: Strong full-stack development with Java, Spring, Hibernate, ReactJS - 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. - Advanced knowledge of Java and experience of utilizing co-pilot or similar AI development tools - Experience with Public Cloud & Database technologies ,AWS and Akamai, Kong - Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Preferred qualifications, capabilities, and skills - Experience of communicating and engaging with senior leadership/stakeholders - Advanced understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security - Familiarity with API and Micro services frameworks, Container Technologies, and workflows