Lead Software Engineer - Python, Cloud-Native Microservices

JPMorganChase

Houston (TX)

On-site

USD 140,000 - 190,000

Full time

11 days ago

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Job summary

JPMorganChase in Houston is seeking a Lead Software Engineer within Corporate Sector - Corporate Technology to advance trusted, market-leading technology products in a secure, scalable way. You will be a core technical contributor delivering solutions across multiple domains, aligned with business objectives.

The role emphasizes cloud-native development, microservices, and leadership in adopting AI-assisted engineering, secure coding, and end-to-end delivery, driving high-quality, resilient

Qualifications

  • 5+ years of applied software engineering experience.
  • Experience building microservices-based applications using Python, Flask, Django.
  • Experience with cloud platforms (AWS, Azure, GCP) and RESTful APIs.

Responsibilities

  • Execute creative software solutions and troubleshoot complex problems.
  • Deliver cloud-native, microservices-based applications leveraging latest technologies.
  • Use domain modeling to build scalable business products with clean architecture.
  • Promote AI-assisted engineering practices to improve code quality and delivery speed.
  • Lead communities of practice across Software Engineering to share best practices.
  • Design scalable, secure solutions with zero-downtime releases and robust data performance.

Skills

Python
Flask
Django
JavaScript
TypeScript
React
Angular
Microservices
REST APIs
Cloud platforms

Education

Formal software engineering certification

Tools

REST APIs
WebSockets
JSON
SQL
NoSQL
AWS
Azure
GCP

Job description

JPMorganChase in Houston is seeking a Lead Software Engineer within Corporate Sector - Corporate Technology to advance trusted, market-leading technology products in a secure, scalable way. You will be a core technical contributor delivering solutions across multiple domains, aligned with business objectives.

The role emphasizes cloud-native development, microservices, and leadership in adopting AI-assisted engineering, secure coding, and end-to-end delivery, driving high-quality, resilient

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