Lead Software Engineer - Python React Full Stack

JPMorganChase; Plano (TX); On-site; USD 140,000 - 210,000; Full time

Job summary

JP Morgan Chase in Plano seeks a senior software engineer to design, build, and troubleshoot secure production code. You will push AI-assisted development practices, review others' code, and drive enterprise standards across the SDLC.

You will lead architecture evaluations, collaborate with vendors and internal teams, and mentor engineers while delivering scalable microservices and API integrations in cloud environments.

Qualifications

• Formal training or certification on software engineering concepts and 7+ years applied experience.
• Hands-on experience delivering system design, application development, testing, and operational stability.
• Advanced in Python and ReactJS; knowledge of Django or FastAPI.
• Experience leading AI-assisted software development tools with validation for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows and secure handling of data.

Responsibilities

• Executes creative software solutions and develops secure, high-quality production code.
• Drives team adoption of AI-assisted engineering practices to improve code quality, delivery speed, and operations.
• Applies SDLC tools to enhance automation and value realization.
• Identifies opportunities to automate remediation and improve system stability.
• Leads evaluation sessions with vendors and internal teams to probe architectural designs.
• Collaborates to ensure interoperability of microservices and API integrations in cloud environments.

Skills

Python

ReactJS

Django

FastAPI

AI-assisted development

Security

Education

Software engineering concepts certification

7+ years experience in software development

Tools

CI/CD tooling

Cloud platforms

Job description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

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