Sr Manager of Software Engineering - Supply Chain
JPMorgan Chase · Houston, United States · 1d ago
SeniorOn-siteSoftware Engineering
Our Global Technology Infrastructure group is a team of innovators who love technology as much as you do. Together, you’ll use a disciplined, innovative and a business focused approach to develop a wide variety of high-quality products and solutions. You’ll work in a stable, resilient and secure operating environment where you—and the products you deliver—will thrive.
High Risk Roles (HRR) are sensitive roles within the technology organization that require high assurance of the integrity of staff by virtue of 1) sensitive cybersecurity and technology functions they perform within systems or 2) information they receive regarding sensitive cybersecurity or technology matters. Users in these roles are subject to enhanced pre-hire screening which includes both criminal and credit background checks (as allowed by law). The enhanced screening will need to be successfully completed prior to commencing employment or assignment.
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
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