JP Morgan Chase

Runs a consumer bank and an investment bank

Lead Software Engineer - Data Engineer

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 five years of applied experience.
Hands-on practical experience delivering system design, application development, testing, and operational stability.
Advanced proficiency in one or more programming languages, including Java, Python, or Scala.
Good understanding of the AWS platform, including its core services, architecture best practices, and security features.
Extensive experience with big data technologies, including Apache Spark, for large-scale data processing and analytics.
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.
Proficiency in all aspects of the Software Development Life Cycle.
Advanced understanding of agile methodologies, including continuous integration and continuous delivery, application resiliency, and security.
In-depth knowledge of the financial services industry and its information technology systems.
Practical cloud-native experience.

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.
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/root-cause analysis support; establish validation standards for secure coding, peer review, and automated testing, and promote reuse of effective patterns across the team.
Apply knowledge of Software Development Life Cycle tools, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
Identify opportunities to eliminate or automate remediation of recurring issues to improve software application and system operational stability.
Lead evaluation sessions with external vendors, startups, and internal teams to assess architectural designs, technical credentials, and applicability within existing systems and information architecture.

Desired Qualifications

Exposure to Databricks.
Experience with data visualization and business intelligence platforms.
A bachelor's degree in Finance, Technology, Data Science, or a related field; an advanced degree is preferred.

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 Corporate Technology in Financial Planning & Analysis 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.
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
Advanced in one or more programming languages including Java, Python, or Scala.
Good understanding of the AWS platform, including its core services, architecture best practices, and security features.
Extensive experience with big data technologies, including Apache Spark, for large-scale data processing and analytics.
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
In-depth knowledge of the financial services industry and their IT systems
Practical cloud native experience

Preferred qualifications, capabilities, and skills

Exposure to Databricks
Experience with data visualization and business intelligence platforms.
Bachelor's degree in Finance, Technology, Data Science, or a related field; advanced degree preferred

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