JPMorgan Chase
Lead Software Engineer - Full Stack / React
Plano, TX · Full-time · Posted Jul 31, 2026
- Experience
- 5+ years applied experience; no alternatives stated.
- Education
- Formal training or certification on software engineering concepts.
About the job
Leads hands-on engineering of enterprise-scale infrastructure services, from architecture and development through production operations, while guiding team adoption of validated AI-assisted engineering practices.
What you'll do
- Designs, delivers, and operates infrastructure services; writes and reviews production code and sets engineering direction.
- Leads responsible use of AI-assisted development, code review, testing, and incident analysis, with standards for validating outputs.
- Improves reliability and operational stability through automation, incident response, mentoring, and technical leadership.
What they ask for
- Formal training or certification in software engineering concepts and 5+ years of applied experience.
- Hands-on experience in system design, application development, testing, and operational stability; production coding in one or more industry-standard languages or frameworks.
- Experience leading approved AI-assisted software development, including validation for correctness, performance, and security, and responsible handling of sensitive data.
- Deep experience in at least one infrastructure domain and operating production systems at scale, including on-call ownership and incident response.
Nice to have
- Experience across multiple infrastructure domains or programming languages; track record reducing operational toil and cost through automation.
- AI-native engineering practices at team or organizational scale; regulated or large-scale enterprise experience; greenfield builds or influencing engineering patterns beyond the team.
Tools
Python, GO, Java, C++, Rust, React, Full Stack, CI/CD
AI focus
Establishes and promotes AI-native engineering practices, using AI-assisted development, code review, test generation, troubleshooting, and incident analysis, with validation standards and responsible data handling.
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