Sr Manager of Software Engineering

JPMorgan Chase & Co.; Columbus (OH); On-site; USD 90,000 - 140,000; Full time

Job summary

JPMorgan Chase & Co. in Columbus, OH is seeking a Manager of Software Engineering within Employee Platforms to guide multiple teams and oversee day‑to‑day delivery, ensuring compliance with business requirements and security standards.

You will set technical direction, mentor engineers, and drive adoption of enterprise‑approved AI‑assisted development practices across projects, coordinating with stakeholders to meet sprint goals and optimize delivery speed and quality.

Qualifications

• Formal training or certification in software engineering concepts and hands-on experience.
• Experience leading technology projects and teams of engineers.
• Experience managing technologists and complex delivery.
• Experience leading adoption of enterprise-authorized AI-assisted development and delivery tools.
• Understanding of responsible AI use, data sensitivity, resiliency, security and governance in engineering workflows.
• Proficiency across the Software Development Life Cycle (SDLC).
• Advanced understanding of agile methodologies, CI/CD, applications resiliency and security.
• In-depth knowledge of the financial services industry and its IT systems.
• Practical cloud-native experience.

Responsibilities

• Provides guidance to the immediate team of software engineers on daily tasks and activities.
• Sets 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 operations.
• Applies knowledge of SDLC toolchain to improve value and support capacity initiatives.
• Anticipates dependencies with other teams to deliver products and applications per business requirements.
• Manages stakeholder relationships and the team’s work in compliance and SLAs.

Skills

Leadership

Mentoring

AI in engineering

SDLC expertise

Agile methodologies

Cloud experience

Finance industry knowledge

Stakeholder management

Tools

CI/CD tooling

AI-assisted development

React

Design systems

Job 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 Employee Platforms, 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
• 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

Preferred qualifications, capabilities, and skills

• Using AI to create user experiences
• Creating agents and skills for AI models
• Design systems
• HTML/CSS
• React
• Mentoring and supporting junior engineers
• Working with stakeholders to deliver sprint goals