Sr Manager of Software Engineering - Supply Chain

JPMorgan Chase & Co.; Houston (TX); On-site; USD 150,000 - 230,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Manager of Software Engineering to guide multiple teams within Corporate Sector - Infrastructure Platform Supply Chain.

You will drive delivery across architecture, development, testing, deployment, and operations while aligning with compliance and business requirements. Leaders will foster technical excellence, implement scalable roadmaps, and advance secure, automated delivery practices, including AI-assisted tooling, with a strong focus on risk management and

Qualifications

• Formal training or certification in software engineering
• 5+ years of hands-on software engineering experience in a corporate/financial services setting
• Experience leading multiple teams and delivering complex software projects
• Strong understanding of SDLC, CI/CD, and security practices

Responsibilities

• Leads, develops, and manages software engineering teams to foster inclusion, accountability, technical excellence, continuous improvement, and collaboration
• Establishes and executes engineering strategy, roadmaps, priorities, and delivery plans aligned with business objectives
• Oversees software solution design, development, testing, deployment, and technical troubleshooting across multiple applications and technical domains
• Partners with product and business stakeholders to define priorities, manage scope, resolve dependencies, and ensure predictable delivery
• Oversees release management, deployment coordination, production readiness, change management, and operational stability
• Drives adoption and continuous improvement of CI/CD pipelines, automated testing, infrastructure automation, observability, and secure software delivery practices
• Identifies, assesses, and mitigates technology, delivery, operational, cyber, and regulatory risks
• Ensures the creation and maintenance of architecture, design, risk, control, and delivery artifacts
• Uses data, metrics, and reporting to identify trends, improve engineering performance, and strengthen application and system health
• 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.

Skills

Team leadership

Mentoring

Agile delivery

Cloud architecture

SDLC governance

DevSecOps

AI-assisted development

Security awareness

Risk management

Data-driven decision making

Education

Formal training or certification in software engineering

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 the Corporate Sector - Infrastructure Platform Supply Chain platform, 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

• Leads, develops, and manages software engineering teams, fostering a culture of inclusion, accountability, technical excellence, continuous improvement, and collaboration
• Establishes and executes engineering strategy, roadmaps, priorities, and delivery plans aligned with business objectives
• Oversees software solution design, development, testing, deployment, and technical troubleshooting across multiple applications and technical domains
• Partners with product and business stakeholders to define priorities, manage scope, resolve dependencies, and ensure predictable delivery
• Oversees release management, deployment coordination, production readiness, change management, and operational stability
• Drives adoption and continuous improvement of CI/CD pipelines, automated testing, infrastructure automation, observability, and secure software delivery practices
• Identifies, assesses, and mitigates technology, delivery, operational, cyber, and regulatory risks
• Ensures the creation and maintenance of architecture, design, risk, control, and delivery artifacts
• Uses data, metrics, and reporting to identify trends, improve engineering performance, and strengthen application and system health
• 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.

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 managing, mentoring, and developing software engineering teams in a large corporate or financial services environment
• Demonstrated experience leading software delivery across architecture, application development, testing, deployment, release management, and operational stability
• Strong understanding of software engineering strategy, technical roadmaps, delivery governance, and organizational change
• Experience leading agile teams and managing program increments, delivery dependencies, backlogs, and continuous improvement
• Deep understanding of cloud architecture, virtualization, APIs, data models, event-driven solutions, and modern software frameworks
• Strong knowledge of SDLC practices, CI/CD, DevSecOps, application resiliency, security, and automated testing
• Experience establishing or improving engineering standards, release processes, operational controls, and production readiness practices
• Understanding of technology risk management, governance, regulatory expectations, and control processes
• 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

Preferred qualifications, capabilities, and skills

• Familiarity with modern front-end technologies
  • Exposure to cloud technologies and cloud-native architecture
  • Experience with enterprise architecture, platform engineering, or large-scale distributed systems
  • Experience with release orchestration, DevSecOps tooling, observability, and automated deployment platforms
  • Experience managing technology risk, audit activities, controls, or regulatory engagements
  • Experience leading engineering organizations through large-scale transformation or modernization initiatives