Manager of Software Engineering - Java

This is your chance to change the path of your career and guide multiple teams to success at one of the worlds leading financial institutions.

As a Manager of Software Engineering at JPMorgan Chase within the API Marketplace group in Consumer Community Banking Technology, you will lead multiple engineering teams and oversee day-to-day implementation activities, proactively identifying and escalating issues while ensuring that all deliverables align with compliance standards, business requirements, and established 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

• A 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
• Full-stack expertise: Strong full-stack development with Java, Spring, Hibernate, ReactJS
• 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.
• Advanced knowledge of Java and experience of utilizing co-pilot or similar AI development tools
• Experience with Public Cloud Database technologies ,AWS and Akamai, Kong

• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

  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