at J.P. Morgan
Bulge Bracket Investment BanksPosted 6 days ago
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**Manager of Software Engineering - Guide Spark & AWS Teams, Implement AI, Enhance Delivery at JPMorgan Chase** - **Manage & Mentor**: Lead and develop software engineers, navigate dependencies, ensure compliance - **AI-driven Innovation**: Foster AI-assisted engineering, automate SDLC, boost delivery speed - **Technical Proficiency**: Spark, Databricks, AWS, Java, Enterprise SDLC tools, cloud-native practices, CI/CD, application resiliency, security - **Industry & Domain Expertise**: Financial services industry knowledge, hands-on with banking IT systems - **Responsible AI Leadership**: Oversee secure data use, define AI work standards, coach on compliant usage - **Collaboration & Stakeholder Management**: Liaise with stakeholders, deliver per business requirements & SLAs
- Compensation
- Not specified
- City
- Not specified
- Country
- United States
Currency: Not specified
Full Job Description
Location: Wilmington, DE, United States
As a Manager of Software Engineering at JPMorganChase within the Enterprise Technology, you lead multiple teams and manage day-to-day implementation activities by identifying and escalating issues and ensuring your teams 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 teams work in accordance with compliance standards, service level agreements, and business requirements
- Formal training or certification on software engineering concepts and 5+ years applied experience. In addition, demonstrated coaching and mentoring experience
- Experience leading technology projects with Big Data & Event Driven Architecture.
- Experience & hands on with technology: Spark, Databricks, AWS, Java
- Experience managing technologists
- 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.
- Proficient in all aspects of the Software Development Life Cycle
- Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- In-depth knowledge of the financial services industry and their IT systems
- Practical cloud native experience
- Exposure to any of decision engines like ODM, Drools
