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, 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- Provides guidance to immediate team of software engineers on daily tasks and activities
- 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
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 leading technology projects. Experience managing technologists
- Extensive technical experience and development expertise in .Net Core or Java, Web services (REST), Angular or React.
- Experience with cloud offerings AWS. Knowledge of CI/CD tools like Jenkins, Docker, Spinnaker etc.
- Good knowledge in HTML5, CSS3, Bootstrap and scripting languages like JavaScript, JQuery etc.
- Proficient with OOPS and Design principles. Expertise in writing clean, secure and refactored code.
- Knowledge and hands-on Experience with Test Driven Development. Experience with relational and non-relational Database technologies like SQL, MongoDB.
- Proficient with Git or any source code management tool.
- 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.
- Overall knowledge of the Software Development Life Cycle. Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
