at J.P. Morgan
Bulge Bracket Investment BanksPosted 12 days ago
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**Manager of Software Engineering | JPMorganChase, Seattle, WA** Lead and mentor Software Engineering teams within the API Marketplace domain. Key responsibilities include setting team direction, ensuring compliance with business requirements, and adopting enterprise-authorized AI-assisted engineering practices. Coordinate with other teams to deliver products align with project timelines. Manage stakeholder relationships and adhere to service level agreements. Prioritize 5+ years of software engineering experience, proficiency in SDLC, strong leadership skills, and a solid understanding of AI-assisted development and responsible AI usage.
- Compensation
- Not specified USD
- City
- Seattle
- Country
- United States
Currency: $ (USD)
Full Job Description
Location: Seattle, WA, United States
As a Manager of Software Engineering at JPMorganChase within the API Marketplace space in Consumer & Community Bank, you lead multiple teams and manage day-to-day implementation activities by identifying and escalating issues and ensuring your teams 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 teams work in accordance with compliance standards, service level agreements, and business requirements
- 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.
- Formal training or certification on software engineering concepts and 5+ years applied experience.
- Demonstrated coaching and mentoring experience ( NAMR/APAC India/ LATAM/ Hong Kong)
- Experience leading technology projects
- 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
- 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.
