JP Morgan Chase

Runs a consumer bank and an investment bank

Lead Software Engineer - Quant Developer

Backend 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 hands-on experience in software engineering, including system design, application development, testing, and operational support.
Strong proficiency in back-end development with Python and Java, and experience building microservices-based applications and APIs, such as RESTful services and JSON.
Strong experience building on AWS or a comparable cloud platform, including designing, deploying, and operating distributed, cloud-native systems.
Experience with distributed systems and web technologies, such as RESTful APIs, web services, and WebSockets.
Hands-on experience designing and building scalable applications using SQL and NoSQL databases.
Experience with agile development methodologies, such as Scrum, and an understanding of the software development life cycle.
Understanding of application resiliency and designing for reliability and availability.
Proficiency in all aspects of the software development life cycle, including secure development practices.
Advanced understanding of agile engineering practices such as continuous integration and continuous delivery, application resiliency, and security.
Demonstrated experience leading effective use of approved AI-assisted software development tools for coding, code review, test acceleration, or troubleshooting, and 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 adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices.

Responsibilities

Execute creative software solutions through design, development, and technical troubleshooting, using approaches beyond routine or conventional methods to build solutions or break down technical problems.
Deliver end-to-end cloud-native, microservices-based applications using current technologies and industry practices.
Use domain modeling techniques to build business products and structure software for clarity, testability, and evolution.
Develop secure, high-quality production code and review and debug code written by others.
Identify opportunities to eliminate or automate remediation of recurring issues to improve the operational stability of software applications and systems.
Lead Software Engineering communities of practice to promote awareness and adoption of new technologies, including AI-enabled software delivery approaches.
Contribute to a team culture of diversity, opportunity, inclusion, and respect.
Investigate and resolve issues promptly and ensure they do not recur.
Continuously update technologies and patterns to keep systems current.
Design and build scalable, secure, and reliable solutions using modern architectural patterns that support zero-downtime releases and optimize data performance.
Engineer and operationalize AI-enabled capabilities, including agentic workflows, tool use, orchestration, and evaluation or guardrails, to improve developer productivity or product functionality.
Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes; establish validation standards including secure coding, peer review, and automated testing, and promote reuse of effective patterns across the team.
Apply knowledge of software development life cycle toolchain capabilities, including enterprise-authorized AI-assisted development and automation tools, to improve the value realized through automation.

Desired Qualifications

Familiarity with modern front-end technologies.

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's Asset and Wealth Management 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 delivering critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job Responsibilities

Execute creative software solutions, design, development, and technical troubleshooting—thinking beyond routine or conventional approaches to build solutions or break down technical problems.
Deliver end-to-end solutions in the form of cloud-native, microservices-based applications, leveraging the latest technologies and best industry practices.
Use domain modeling techniques to build best-in-class business products, structuring software for clarity, testability, and evolution.
Develop secure, high-quality production code; review and debug code written by others.
Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems.
Lead communities of practice across Software Engineering to drive awareness and adoption of new and leading-edge technologies (including AI-enabled software delivery approaches).
Add to team culture of diversity, opportunity, inclusion, and respect.
Promptly investigate and resolve issues, ensuring they do not resurface.
Continuously update technologies and patterns to keep systems current.
Design and build scalable, secure, and reliable solutions by leveraging modern architectural patterns that enable zero-downtime releases and optimize data performance.
Engineer and operationalize AI-enabled capabilities (e.g., agentic workflows, tool use, orchestration, evaluation/guardrails) to improve developer productivity and/or product functionality.
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.

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years of hands-on experience in software engineering, including system design, application development, testing, and operational support.
Strong proficiency in back-end development with Python and Java, with experience building microservices-based applications and APIs (e.g., RESTful services, JSON).
Strong experience building on AWS (or comparable cloud), including designing, deploying, and operating distributed, cloud-native systems.
Experience with distributed systems and web technologies (e.g., RESTful APIs and web services, WebSockets).
Hands-on experience designing and building scalable applications using SQL and NoSQL databases.
Experience with agile development methodologies (e.g., Scrum) and an understanding of the software development life cycle.
Understanding of application resiliency and designing for reliability/availability.
Proficient in all aspects of the Software Development Life Cycle, including secure development practices.
Advanced understanding of agile engineering practices such as CI/CD, Application Resiliency, and Security.
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

Preferred qualifications, capabilities, and skills

Familiarity with modern front-end technologies

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

Recently Posted Jobs

Explore more opportunities at JP Morgan Chase

See more jobs