Lead Software Engineer - Full Stack

JPMorgan Chase & Co.; Jersey City (NJ); In loco; USD 140.000 - 190.000; Tempo pieno

Descrizione del lavoro

JPMorgan Chase & Co. in New Jersey seeks a Lead Software Engineer for the Asset & Wealth Management Client Information team. You will be a core technical contributor, delivering trusted market-leading technology products in a secure, scalable manner.

Responsibilities include developing production-grade code, reviewing peers, and driving AI-assisted practices to improve code quality, testing, and incident analysis while mentoring junior engineers globally.

Competenze

• Formal training or certification in software engineering concepts with 5+ years of applied experience.
• Hands-on experience delivering system design, application development, testing, and operational stability.
• Advanced proficiency in Java or Python.
• Experience with front-end React and cloud AWS.
• Experience leading effective use of AI-assisted development tools with focus on correctness, performance and security.

Mansioni

• Executes creative software solutions, design, development, and troubleshooting with non-routine approaches.
• Develops secure, high-quality production code and reviews code written by others.
• Drives adoption of enterprise AI-assisted engineering practices to improve code quality, delivery speed, and reliability.

Conoscenze

Java

Python

React

AI-assisted dev tools

CI/CD

Agile

AWS

Mentor engineers

Formazione

Formal training or certification in software engineering

Descrizione del lavoro

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