Manager of Software Engineering - Analytics & Feedback Platforms

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 Employee Platforms, 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 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.
• Experience leading technology teams, managing technologists, and delivering complex technology initiatives from concept through production.
• 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.
• Hands-on experience delivering system design, application development, testing, deployment, and operational stability across the full Software Development Life Cycle.
• Strong full-stack engineering background with expertise in backend application development and application integrations.
• Expert-level knowledge of one or more programming languages, with the ability to independently solve complex design, scalability, performance, and functionality challenges.
• Advanced understanding of Agile delivery, CI/CD, application resiliency, security, observability, and cloud-native engineering practices.
• Practical experience developing and deploying applications in public or private cloud environments.
• Proven ability to establish engineering standards, drive technical excellence, and promote software quality through code reviews, automated testing, reusable patterns, and engineering automation.

Preferred qualifications, capabilities, and skills

• Advanced proficiency in Java, JEE, Spring, Spring Boot, REST APIs, Kafka, automated testing frameworks, integration testing, and modern engineering practices.
• Strong analytical and problem-solving skills, with the ability to evaluate multiple solution options and make sound technical decisions with limited oversight.
• Working knowledge of financial services technology environments, controls, compliance expectations, and regulatory considerations.
• Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field, or equivalent practical experience.
• Practical cloud native experience