Lead Software Engineer (Python/Django) — AI-Driven Infra

JPMorgan Chase & Co.

Plano (TX)

Hybrid

USD 150,000 - 210,000

Full time

14 days+

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Job summary

JPMorganChase in Plano, TX seeks a Lead Software Engineer to drive design, development, and secure production systems within Infrastructure Platforms. You will contribute across multiple technical areas to deliver market-leading technology that is secure, scalable, and resilient.

The role emphasizes advanced programming, cloud architecture, and the adoption of AI-assisted engineering practices to improve code quality, delivery speed, and reliability across the team.

Qualifications

  • Formal training or certification in software engineering concepts.
  • 5+ years applied software development experience.
  • Proficiency in one or more programming languages and frameworks.
  • Experience with CI/CD, security, and application resiliency practices.
  • Experience with cloud technologies, automation, and IaC tooling.

Responsibilities

  • Executes creative software solutions and implements scalable designs.
  • Develops secure production code and reviews peers' work.
  • Improves operational stability by reducing recurring issues.
  • Drives adoption of AI-assisted engineering practices for code quality and speed.
  • Leads evaluations with vendors and teams on architectural designs.
  • Guides communities of practice to share new technologies.
  • Fosters an inclusive and diverse team culture.

Skills

Python
CI/CD
Cloud architecture
AI-assisted engineering
Security best practices

Education

Formal software engineering certification

Tools

AWS
Terraform
Kubernetes

Job description

JPMorganChase in Plano, TX seeks a Lead Software Engineer to drive design, development, and secure production systems within Infrastructure Platforms. You will contribute across multiple technical areas to deliver market-leading technology that is secure, scalable, and resilient.

The role emphasizes advanced programming, cloud architecture, and the adoption of AI-assisted engineering practices to improve code quality, delivery speed, and reliability across the team.

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