JP Morgan Chase

Runs a consumer bank and an investment bank

Lead Software Engineer - Full Stack

Full-Stack EngineeringConfirmed live in the last 24 hours

Full-timeJersey City, NJ, USA$156.8k - $215kIn-person

About the Job

Requirements

Formal training or certification in software engineering concepts and at least 5 years of applied experience.
Hands-on experience using enterprise-authorized AI-assisted software development tools for coding, test creation, troubleshooting, or documentation, including critically evaluating, validating, and refining generated outputs for correctness, performance, and security.
Practical experience delivering system design, application development, testing, and operational stability.
Advanced proficiency in one or more programming languages, including Java or Python.
Experience coding with front-end technology, including React.
Experience with cloud technology, including AWS.
Experience leading effective use of approved AI-assisted software development tools, including setting team expectations for validating AI outputs for correctness, performance, and security.
Strong understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and resiliency and security expectations; experience coaching engineers on safe, compliant adoption in delivery practices.
Proficiency across all aspects of the Software Development Life Cycle.
Advanced understanding of agile methodologies, including continuous integration and continuous delivery, application resiliency, and security.
Strong communication and collaboration skills across global teams, and ability to mentor junior engineers.

Responsibilities

Execute creative software solutions through design, development, and technical troubleshooting, using approaches beyond routine methods to build solutions or break down technical problems.
Develop secure, high-quality production code, and review and debug code written by others.
Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes, including AI-assisted code review and refactoring, test strategy acceleration, and incident and root-cause analysis support; establish consistent validation standards for secure coding, peer review, and automated testing, and promote reuse of effective patterns across the team.
Apply Software Development Life Cycle toolchain knowledge, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized from automation.
Produce architecture and design artifacts for complex applications and ensure software development meets design constraints.
Gather, analyze, and synthesize large, diverse data sets and develop visualizations and reporting to support continuous improvement of software applications and systems.
Identify hidden problems and patterns in data and use these insights to improve coding hygiene and system architecture.

Desired Qualifications

In-depth knowledge of the financial services industry and its IT systems.

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 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

Base Pay/Salary: Jersey City,NJ $156,750.00-$215,000.00

About the Company

JP Morgan Chase

Runs a consumer bank and an investment bank

JPMorgan Chase runs the largest bank in the United States, which serves households and small businesses as Chase and large companies, governments, and investors as J.P. Morgan. During the 2008 financial crisis it bought the failing investment bank Bear Stearns and lender Washington Mutual, and in 2023 it took over First Republic Bank after regulators seized it. Chase takes deposits and earns interest on credit cards, mortgages, and car loans, while the investment side earns fees for advising on mergers, raising money for companies, trading stocks and bonds, and managing wealth. Formed in a 2000 merger, JPMorgan Chase traces its roots to 1799 and is based in New York City.

Company size: 10,001+
Company stage: IPO
Headquarters: New York City, New York
Founded: 1799

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