Lead Full-Stack Engineer - Python/Java/React & AI Tools

Fairygodboss; Plano (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

JPMorgan Chase in Plano, Texas is seeking a Lead Software Engineer to join Corporate Technology - Finance Technology. You will be a core contributor delivering secure, scalable tech products, guiding AI-assisted engineering practices, and leading architectural evaluations with internal teams and external vendors.

The role emphasizes full-stack development (Java/Python/React), cloud-native work, CI/CD, and a strong focus on responsible AI usage, security, and operational stability within a

Qualifications

• 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 Full Stack development using Java or Python, and React
• 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 with experience coaching engineers on safe, compliant adoption within delivery practices
• Proficiency in automation and continuous delivery methods
• Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• In-depth knowledge of the financial services industry and their IT systems
• Practical cloud native experience

Responsibilities

• 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
• 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
• 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

Job description

JPMorgan Chase in Plano, Texas is seeking a Lead Software Engineer to join Corporate Technology - Finance Technology. You will be a core contributor delivering secure, scalable tech products, guiding AI-assisted engineering practices, and leading architectural evaluations with internal teams and external vendors.

The role emphasizes full-stack development (Java/Python/React), cloud-native work, CI/CD, and a strong focus on responsible AI usage, security, and operational stability within a