Lead Software Engineer - Python, React Full stack

JPMorganChase • Plano, TX

1d

About The Position

As a Lead Software Engineer at JPMorganChase within Infrastructure Platforms Network Automation, you will contribute to an agile team building and enhancing trusted technology products that are secure, stable, and scalable. You will develop and deliver technical solutions across multiple areas in support of the firm’s business objectives.

The role includes designing, developing, testing, and troubleshooting software, producing secure, high-quality production code, and reviewing and debugging work by others. You will help the team adopt enterprise-authorized AI-assisted engineering practices, establish standards for validating AI-generated outputs, and use software development lifecycle tools and automation to improve quality, delivery speed, and operational stability. You will also identify recurring issues that can be automated or eliminated and lead evaluations of architectural designs and technology offerings with internal teams and external vendors.

Requirements

• Formal training or certification in software engineering concepts and at least 5 years of applied experience.
• 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 expectations for validating 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 and compliant adoption of AI tools in delivery practices.
• Proficiency across all aspects of the Software Development Life Cycle.
• Advanced understanding of agile methodologies, including CI/CD, application resiliency, and security.
• In-depth knowledge of creating microservices, integrating systems through APIs, and applying event-driven 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 leveraging AI in day-to-day engineering and development tasks.
• Exposure to cloud technologies.
• Exposure to working with Big Data.
• Network Automation exposure.

Responsibilities

• Design, develop, and troubleshoot creative software solutions, including addressing technical problems beyond routine approaches.
• Develop secure, high-quality production code and 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.
• Establish consistent validation standards for AI-assisted work, including secure coding, peer review, and automated testing, and promote reuse of effective patterns.
• Use software development lifecycle tools and authorized AI-assisted development and automation capabilities to improve the value realized from automation.
• Identify opportunities to eliminate recurring issues or automate their remediation to improve application and system stability.
• Lead evaluation sessions with external vendors, startups, and internal teams to assess architectural designs, technical credentials, and applicability to existing systems and information architecture.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed