Manager of Software Engineering

Lead multiple teams, manage day-to-day implementation activities, and set overall guidance for team output, practices, and collaboration

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 Corporate Technology 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 leading technology projects and 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

Preferred qualifications, capabilities, and skills


* Experience building data-driven products (analytics, insights platforms, dashboards, experimentation).


* Familiarity with cloud platforms, distributed systems, and even...