We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Manager of Software Engineering at JPMorgan Chase within the API Marketplace group in Consumer and community banking Technology, you’ll serve in a leadership role to help build, coach and lead an agile team to solve complex problems at scale. As an expert in your field, your insights will influence planning and technical considerations to advance operational efficiencies and functionality.
Job responsibilities
- Provides direction, oversight, and coaching for a team of entry-level to mid-level software engineers, as well as guidance to product and business teams
- Develops secure and high-quality production code, and reviews and debugs code written by others
- Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
- 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.
- Drives decisions that influence the product design, application functionality, and technical operations and processes
- Serves as a function-wide subject matter expert in one or more areas of focus
- Actively contributes to the engineering community as an advocate of agility, firmwide frameworks, tools, and practices of the Software Development Life Cycle
- Influences peers and project decision-makers to consider the use and application of leading-edge technologies
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.
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Strong communicator, with experience of engaging with leadership/stakeholders & Full stack developer experience with Java, Spring, Hibernate.
- Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
- Experience in agile product development and managing technologists & Strong understanding of container technologies like Docker and Kubernetes
- Ability to tackle design and functionality problems independently with little to no oversight
- Advanced knowledge of Java and experience of utilizing co-pilot or similar AI development tools
- Practical cloud native experience and advanced knowledge of software applications and technical processes with in-depth
- Proficient in automation and continuous delivery methods and all aspects of the Software Development Life Cycle, including QA automation
- Experience with Public Cloud & Database technologies (AWS)
Preferred qualifications, capabilities and skills
- Experience of communicating and engaging with senior leadership/stakeholders
- Advanced understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security
- Familiarity with API and Micro services frameworks, Container Technologies, and workflows