Lead Software Engineer - Python React Full Stack

JPMorganChase•Plano, TX

About The Position

As a Lead Software Engineer at JPMorganChase within Infrastructure Platforms Network Automation, you will be an integral part of an agile team enhancing, building, and delivering trusted technology products in a secure, stable, and scalable way. As a core technical contributor, you will deliver critical technology solutions across multiple technical areas and business functions in support of the firm’s business objectives. The role involves designing, developing, troubleshooting, and maintaining software solutions; producing and reviewing secure, high-quality production code; and improving operational stability through automation. You will lead the effective adoption of enterprise-authorized AI-assisted engineering practices, establish standards for validating AI outputs, and promote reuse of effective patterns across the team. You will also evaluate architectural designs and technical capabilities with external vendors, startups, and internal teams.

Requirements

Formal training or certification in software engineering concepts and at least 7 years of applied experience.
Hands-on 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 tasks such as coding, code review, test acceleration, and troubleshooting.
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, secure handling of inputs and outputs, and security and resiliency expectations.
Experience coaching engineers on safe, compliant AI adoption within delivery practices.
Proficiency in all aspects of the Software Development Life Cycle.
Advanced understanding of agile methodologies, including CI/CD, application resiliency, and security.
In-depth knowledge of microservices, system integration through APIs, and event-driven solution approaches.
Practical cloud-native experience.
Strong track record of partnering with internal teams and external stakeholders to deliver outcomes.
Strong ownership and accountability, with the ability to deliver efficiently while prioritizing long-term sustainability and integrity.

Nice To Haves

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

Responsibilities

Execute creative software solutions, including design, development, and technical troubleshooting, to address complex technical problems.
Develop secure, high-quality production code and review and debug code written by others.
Lead team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes.
Establish consistent validation standards for AI-assisted work, including secure coding, peer review, and automated testing, and promote reuse of effective patterns.
Apply software development lifecycle tools, including authorized AI-assisted development and automation capabilities, to improve the value realized through automation.
Identify opportunities to eliminate or automate remediation of recurring issues to improve application and system operational stability.
Lead evaluation sessions with vendors, startups, and internal teams to assess architectural designs, technical credentials, and suitability for existing systems and information architecture.

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