Senior Lead Python Engineer - AI-Driven, Secure SDLC Leader

JPMorgan Chase & Co.

Houston (TX)

On-site

USD 140,000 - 210,000

Full time

3 days ago
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Job summary

JPMorgan Chase & Co. in Houston seeks a Senior Lead Software Engineer to own key projects within a global program, collaborating across Quantitative Research, Structuring, Trading, Sales and Middle Office. The role focuses on secure, high-quality production code and guiding teams in AI-assisted development practices.

You will help push governance, testing, and automation, while coaching engineers to improve platform design and resilience within the Athena-based environment.

Qualifications

  • Formal training or certification on software engineering concepts and 5+ years applied experience.
  • Experience in performant, large-scale system development in OO or FP languages (Python/Java/C++/C#).
  • Demonstrated experience leading AI-assisted development tools with governance and validation.

Responsibilities

  • Own and deliver specific projects within the global program of work.
  • Collaborate with and influence other technology teams to meet users' needs.
  • Develop secure, high-quality production code and review others' code.
  • Drives adoption and governance of AI-assisted engineering practices with measurable validation standards.
  • Applies knowledge of SDLC tools and AI-assisted development to improve value and automation.
  • Serves as a function-wide SME in focus areas.

Skills

Python
Java
C++
C#
AI-assisted tools
Secure coding
Agile
Interpersonal skills

Education

Formal software engineering training

Tools

Athena platform

Job description

JPMorgan Chase & Co. in Houston seeks a Senior Lead Software Engineer to own key projects within a global program, collaborating across Quantitative Research, Structuring, Trading, Sales and Middle Office. The role focuses on secure, high-quality production code and guiding teams in AI-assisted development practices.

You will help push governance, testing, and automation, while coaching engineers to improve platform design and resilience within the Athena-based environment.

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