Lead Software Engineer – AI-Driven Data Protection & Recovery

JPMorgan Chase & Co.

Houston (TX)

Presencial

USD 150.000 - 210.000

Jornada completa

Hace 5 días
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Descripción de la vacante

JPMorgan Chase & Co. seeks a Lead Software Engineer in Houston to drive secure, scalable software solutions within Infrastructure Platforms Foundational Services Data Protection and Recovery.

You will contribute as a core technical member, shaping architectures and delivering trusted technology while aligning across global teams. Responsibilities include developing production-grade code, integrating AI-assisted practices, and guiding the team through SDLC tools and secure coding standards to

Formación

  • Strong background in software engineering with practical experience across design, development, testing, and operations.
  • Advanced knowledge of Python programming and modern CI/CD practices.
  • Experience with AI-assisted development tools and guidance on safe, correct AI outputs.

Responsabilidades

  • Executes creative software solutions and technical troubleshooting beyond routine approaches.
  • Develops secure, high-quality production code and reviews peers' work.
  • Leads adoption of AI-assisted engineering practices for code quality and delivery speed.
  • Applies SDLC tools to improve automation and value delivery.
  • Identifies opportunities to automate recurring issues for stability.
  • Leads technical evaluations with external vendors and internal teams on architecture.
  • Promotes cross-team collaboration to ensure global alignment.

Conocimientos

Python
CI/CD
AI-assisted development

Herramientas

FASTAPI
MongoDB
Jenkins

Descripción del empleo

JPMorgan Chase & Co. seeks a Lead Software Engineer in Houston to drive secure, scalable software solutions within Infrastructure Platforms Foundational Services Data Protection and Recovery.

You will contribute as a core technical member, shaping architectures and delivering trusted technology while aligning across global teams. Responsibilities include developing production-grade code, integrating AI-assisted practices, and guiding the team through SDLC tools and secure coding standards to

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