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# Lead Software Engineer - Full Stack

- **Company:** JPMorgan Chase & Co.
- **Location:** Houston, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Agile Methodology, Artificial Intelligence, Software Applications, Automation of Tests, Cloud Computing, Software Quality, Code Review, Computer Programming, Continuous Integration, Database Queries, Software Debugging, Machine Learning, Software Tools, Secure Coding, Software Engineering, Software Systems, Strategies of Testing, Toolchain, ReactJS, Apache Spark, Spring-boot, Production Code, Maintaining Code, Front End Software Development, Code Restructuring, Programming Languages
- **Published:** July 10, 2026
- **Apply:** https://www.careerjet.com/job/usaa4d8dfc3cf3f9259110b724c2ac42fa/eaa

## About the Role

* Formal training or certification on software engineering concepts and 5+ years applied experience
 * Proficient in Front-End UI programming such as React and Back-End technologies such as Java/SpringBoot
 * Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
 * 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
 * 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
 * Overall knowledge of the Software Development Life Cycle
 * Understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
 * Knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

Preferred qualifications, capabilities, and skills

 * Familiarity with Spark /Scala
 * Exposure to cloud technologies

## Description

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 JPMorgan Chase within Corporate Technology - Risk Asset Services, 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., * Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems

 * Develops secure high-quality production code, and reviews and debugs code written by others
 * Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
 * 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.
 * 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
 * Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
 * Adds to team culture of diversity, opportunity, inclusion, and respect, Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. As a Senior Lead Software Engineer at JP…
 + 4 hours ago


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