Manager of Software Engineering - Sr AWS/Full Stack Java Developer

JPMorgan Chase & Co.•Columbus, OH

About The Position

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 (Full Stack, React) at JPMorganChase within Consumer and Community Banking Digital Technology, you will lead a team building and evolving customer-facing web experiences and the supporting APIs that power critical digital journeys. You will combine hands-on technical leadership with people leadership to raise engineering quality, delivery predictability, and operational resilience.

Requirements

Formal training or certification on software engineering concepts and 5+ years applied experience. In addition, demonstrated coaching and mentoring experience
Demonstrated experience leading full-stack delivery with strong depth in front-end engineering (React and TypeScript), including component design, state management, routing, and performance optimization
Hands-on experience building and operating web APIs (for example Java and Spring), including secure design, versioning strategies, and reliability considerations in distributed systems
Strong knowledge of web application security and secure coding practices (for example cross-site scripting, cross-site request forgery, session management, content security policy) and dependency and vulnerability management
Proven ability to set and sustain engineering excellence through code review, test strategy, and continuous integration and continuous delivery practices (including feature flags and rollback strategies)
Hands-on experience building, deploying, and operating applications on Amazon Web Services (AWS), including identity and access management, networking fundamentals, logging/monitoring, and infrastructure-as-code practices
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

Nice To Haves

Experience designing and scaling reusable front-end platforms, design systems, or shared component libraries across multiple teams
Experience with AWS-native architectures for web applications (for example content delivery, API routing, container or serverless deployment patterns)
Experience with GraphQL and modern build and packaging tooling ecosystems
Experience driving modernization efforts such as large-scale refactoring, testing uplift, or migration to newer front-end patterns and frameworks
Experience working in highly regulated environments with strong engineering controls, auditability, and reliability expectations

Responsibilities

Lead and coach a full-stack engineering team delivering React-based web experiences and supporting APIs, setting clear technical direction and strong engineering standards
Drive front-end architecture and implementation quality for modern single-page applications, including accessibility, performance, and secure-by-design patterns
Partner with product, design, and partner engineering teams to shape solution scope, milestones, and delivery plans that maximize customer and business outcomes
Establish and enforce modern testing and quality practices across the stack, including unit, integration, and end-to-end automation and release readiness
Oversee API and service design to enable scalable front-end experiences, including consistency, observability, resiliency, and clear interface contracts
Improve reliability and developer productivity by reducing recurring issues, modernizing delivery pipelines, and strengthening operational hygiene and on-call readiness
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