Lead Software Engineer - Full Stack

JPMorganChase

Jersey City (NJ)

On-site

USD 140,000 - 200,000

Full time

3 days ago
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Job summary

JPMorganChase in Jersey City seeks a Lead Software Engineer to join the Asset & Wealth Management Client Information team. You will design, build, and deliver trusted technology products in a secure, scalable way, contributing as a core technical member of an agile team.

You will lead development efforts, apply AI-assisted practices, ensure secure coding, and drive improvements across the software lifecycle while collaborating with global teams.

Qualifications

  • Formal training or certification in software engineering with 5+ years of applied experience.
  • Experience delivering system design, application development, testing, and operational stability.
  • Proficiency in Java or Python; frontend experience with React.
  • Experience with cloud technologies (AWS).
  • Experience leading the use of AI-assisted development tools and validating AI outputs.

Responsibilities

  • Executes creative software solutions and technical troubleshooting beyond routine approaches.
  • Develops secure, high-quality production code and reviews peers' code.
  • Drives adoption of enterprise AI-assisted engineering practices to improve code quality and delivery speed.
  • Uses SDLC tools, including AI-assisted development, to improve automation and value.
  • Produces architecture and design artifacts for complex applications and ensures design constraints are met.
  • Analyzes large data sets to visualize and report for continuous improvement of software and systems.
  • Identifies data patterns to drive improvements in coding hygiene and system architecture.

Skills

Java
Python
React
Agile
Mentoring
Communication
Secure coding

Education

Software engineering training/certification

Tools

AWS
AI-assisted development tools

Job description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorganChase within the Asset & Wealth Management Client Information team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

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.
  • Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development.
  • Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
  • Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture.
Required qualifications, capabilities, and skills
  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Hands-on experience using enterprise-authorized AI-assisted software development tools to be used for for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Advanced in one or more programming language(s) : Java or Python
  • Experience coding in Front end technology including React
  • Experience with Cloud technology including AWS
  • 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
  • Proficient in all aspects of the Software Development Life Cycle
  • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
  • Strong communication and collaboration skills globally and mentor junior engineers on team.
Preferred qualifications, capabilities, and skills
  • In-depth knowledge of the financial services industry and their IT systems
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