When you mentor and advise multiple technical teams and move financial technologies forward, it’s a big challenge with big impact. You were made for this.

As a Manager of Software Engineering – Systems Resiliency at JPMorgan Chase within the Consumer and Community Banking – Technology team, you will lead and manage day-to-day implementation activities with a focus on building resilient, reliable, and scalable systems. You will drive best practices in CI/CD, software lifecycle management, automated testing, and modern observability, ensuring our platforms are robust, secure, and able to withstand the demands of modern financial services.

 

Job responsibilities

Provides technical leadership and mentorship to a team of software engineers, with a focus on systems resiliency, automation, and reliability.

Sets the overall guidance and expectations for team output, engineering practices, and cross-team collaboration, emphasizing continuous integration, continuous delivery, and automated quality assurance.

Anticipates and manages dependencies with other teams to deliver resilient products and applications in line with business requirements and service level objectives.

Oversees the implementation and evolution of CI/CD pipelines, automated testing frameworks, and software lifecycle management processes to ensure rapid, reliable, and secure software delivery.

Drives process modeling and solutions engineering in a cloud-based development environment, ensuring scalable and maintainable architectures.

Manages stakeholder relationships and the team’s work in accordance with compliance standards, service level agreements, and business requirements, with a focus on operational excellence and incident prevention.

Fosters a team culture that encourages creative problem-solving, values diverse perspectives and experiences, and aligns all members toward a shared vision and common goals.

 

Required qualifications, capabilities, and skills

 

Formal training or certification on software engineering concepts and 5+ years applied experience, including 2+ years leading technologists in systems resiliency, automation, or DevOps-focused roles.

Advanced software development skills, with hands-on experience in Java/Spring and modern engineering best practices for building scalable, maintainable code.

Proven experience designing, implementing, and optimizing CI/CD pipelines (e.g., Jenkins, GitHub Actions, or similar) to automate build, test, and deployment processes.

Deep understanding of the software development lifecycle (SDLC), with hands-on experience applying agile methodologies and driving continuous improvement in software delivery.

Expertise in automated testing strategies (unit, integration, end-to-end), test data lifecycle management, environment health, observability patterns, and ensuring predictability and repeatability of tests.

Experience in process modeling and solutions engineering within cloud-based development environments (AWS, Azure, GCP), including microservices architecture and containerization (Docker, Kubernetes).

Familiarity with AI and/or agentic solutions applied to software development and software quality management, such as AI-driven test automation, code analysis, or intelligent observability.

Experience in the financial services industry, with a focus on building secure, compliant, and highly available systems.

Excellent communication and stakeholder management skills, with the ability to translate technical concepts into business value.

 

Preferred qualifications, capabilities, and skills

Skilled in troubleshooting, debugging, and resolving complex code and infrastructure issues; proficient in Git for source control and team collaboration.

Experience working with cross-functional teams (QA, SRE, Product, Security) to deliver business outcomes and maintain comprehensive technical documentation.

Familiarity with infrastructure as code (e.g., Terraform, CloudFormation) and configuration management tools (e.g., Ansible, Chef).

Promotes the exploration and adoption of AI and agentic solutions to advance software development and software quality management practices.