AEM Lead Software Engineer

JPMorgan Chase & Co.

Jersey City (NJ)

On-site

USD 150,000 - 190,000

Full time

14 days+
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Job summary

JPMorgan Chase & Co. in Jersey City is seeking a Lead Software Engineer to drive engineering excellence across agile teams within Asset Wealth Management.

You will deliver trusted technology products at scale, guiding architecture decisions and championing secure, resilient software practices. You will lead AI-assisted development initiatives, ensure code quality, and collaborate with vendors and internal teams to align with enterprise standards.

Qualifications

  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Deep expertise with Adobe Experience Manager (AEM): components, content architecture, templates, OSGi, Sling Models, and dispatcher configurations; cloud/service variants
  • Strong knowledge of Adobe’s marketing ecosystem (Marketo, Adobe Analytics, Adobe Target) and their integration with AEM
  • Hands-on proficiency with modern front-end technologies: JavaScript, TypeScript, React, CSS/SCSS, responsive design
  • Solid understanding of web security, SEO practices, WCAG 2.x, and performance optimization
  • Demonstrated experience leading approved AI-assisted software development tools with validation standards
  • Strong understanding of responsible AI use in engineering workflows, data sensitivity, secure handling of inputs/outputs, resiliency and security
  • 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; cloud native experience

Responsibilities

  • Executes advanced software solutions and troubleshooting beyond routine approaches
  • Develops secure, high-quality production code and reviews others’ code
  • Drives AI-assisted engineering adoption to improve code quality and delivery
  • Applies SDLC tooling knowledge to boost automation value
  • Identifies and automates recurring issues to improve stability
  • Leads architecture reviews with vendors and teams to assess designs

Skills

Software engineering
Agile methodologies
Cloud native
AI-assisted engineering
Security aware

Tools

Adobe Experience Manager
AEM Cloud Service
AEM Managed Services
Marketo
Adobe Analytics
Adobe Target
Sling Models
Dispatcher configurations
JavaScript
TypeScript
React
CI/CD

Job description

We’re looking for a tech leader ready to take their career to new heights. Join the ranks of top talent at one of the world’s most influential companies.

As a Lead Software Engineer at JPMorganChase within the Asset Wealth Management, youprovide deep engineering expertise and work across agile teams to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Leverage your deep expertise to consistently challenge the status quo, innovate for business impact, lead the strategic development behind new and existing products and technology portfolios, and remain at the forefront of industry trends, best practices, and technological advances.

Job responsibilities
  • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems

  • Develops secure and high-quality production code, and reviews and debugs code written by others

  • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.

  • 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.

  • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems

  • Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture

Required qualifications, capabilities, and skills
  • Formal training or certification on software engineering concepts and 5+ years applied experience

  • Hands-on practical experience delivering system design, application development, testing, and operational stability

  • Deep expertise with Adobe Experience Manager (AEM), including component development, content architecture, templates, OSGi, Sling Models, and dispatcher configurations. Experience with AEM as a Cloud Service or AEM Managed Services.

  • Strong knowledge of Adobe’s marketing ecosystem (e.g., Marketo, Adobe Analytics, Adobe Target or Engage) and how they integrate with AEM.

  • Hands‑on proficiency with modern front‑end technologies: JavaScript, TypeScript, React or similar frameworks, CSS/SCSS, and responsive design.

  • Solid understanding of web security, SEO best practices, web accessibility (WCAG 2.x), and performance optimization.

  • Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.

  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices

  • 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.

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