JP Morgan Chase

Runs a consumer bank and an investment bank

Lead Software Engineer - Multiple Teams

Full-Stack EngineeringPosted on Nov 9

Full-timePlano, TX, USANo salary listedIn-person

About the Job

Requirements

Formal training or certification in software engineering concepts and at least 7 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, such as Python or ReactJS.
Advanced proficiency in one or more frameworks, such as Django or FastAPI.
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.
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 within delivery practices.
Proficiency across all aspects of the Software Development Life Cycle.
Advanced understanding of agile methodologies, continuous integration and continuous delivery, application resiliency, and security.
In-depth knowledge of creating microservices, integrating with other systems through application programming interfaces, and applying event-driven approaches to solutions.
Practical cloud-native experience.
Strong track record of partnering with internal teams and external stakeholders to deliver outcomes.
Ownership and accountability, efficient delivery, and prioritization of long-term sustainability and integrity.

Responsibilities

Execute creative software solutions, design, development, and technical troubleshooting, using approaches beyond routine methods to build solutions or break down technical problems.
Develop secure, high-quality production code; 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 or root-cause analysis support; establish consistent validation standards for secure coding, peer review, and automated testing; 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, to improve the value realized from automation.
Identify opportunities to eliminate recurring issues or automate their remediation to improve operational stability of software applications and systems.
Lead evaluation sessions with external vendors, startups, and internal teams to assess architectural designs, technical credentials, and applicability to existing systems and information architecture.

Desired Qualifications

Familiarity with modern front-end and back-end technologies.
Exposure to leveraging AI in day-to-day engineering and development tasks.
Exposure to cloud technologies.
Exposure to working with big data.
Exposure to network automation.

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 Infrastructure Platforms Network Automation, 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 7+ years applied experience
Hands-on practical experience delivering system design, application development, testing, and operational stability
Advanced in one or more programming language(s): Python, ReactJS, etc
Advanced in one or more frameworks language(s): Django, FastAPI, etc
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 creating microservices, integrating with other systems via API, applying event-driven approach to solutions
Practical cloud native experience
Strong track record of partnering with both internal teams and external stakeholders to deliver outcomes
Demonstrates strong ownership and accountability; delivers results efficiently while prioritizing long-term sustainability and integrity

Preferred qualifications, capabilities, and skills

Familiarity with modern front-end and back-end technologies
Exposure to leveraging AI in day-to-day engineering and development tasks
Exposure to cloud technologies
Exposure to working with Big Data
Network Automation exposure

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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