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# Manager of Software Engineering

- **Company:** JPMorgan Chase & Co.
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Code Generation, Code Review, Continuous Integration, Systems Development Life Cycle, Software Engineering, Retrieval-Augmented Generation, Delivery Pipeline, Codebase
- **Published:** October 6, 2026
- **Apply:** https://jpmc.fa.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/requisitions/preview/210795427

## About the Role

* 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
 * Demonstrated breadth across the technology landscape, with the ability to assess an unfamiliar design, codebase, or production issue quickly and identify what actually matters.
 * Experience with code review and validation - able to read, critique, and correct both human and AI-generated code, and to build working prototypes.
 * Proven stakeholder engagement and relationship-building skills, with a track record of influencing peer leaders and driving alignment without direct authority.
 * Advanced proficiency with modern AI-assisted development - practical experience with agents, MCP, skills, prompting, RAG, and memory - applied to real engineering and governance work.

Preferred qualifications, capabilities, and skills

 * Experience with mainframe platforms, including the release, environment, and testing constraints they introduce into a modern delivery pipeline.
 * Experience with Card platforms or comparable large-scale payments and transaction-processing systems.

## 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 Consumer and Community Banking's Card 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. You will act as a senior solution architect for our delivery control plane - the environments, pipelines, promotion controls, quality gates, and release evidence. You will translate ambiguous problems into practical architectures, validate designs through hands-on prototypes, and help teams adopt solutions with confidence., * Provides guidance to immediate team of software engineers on daily tasks and activities, influence engineers, architects, peer leaders, and control partners across teams to align on practical, adoptable platform designs.

 * 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
 * Remain hands-on at a senior engineering level by reviewing code, interpreting unfamiliar systems, validating AI-generated output, and building MVPs to de-risk major technical directions.