Lead Software Engineer: Cloud-Native, AI-Driven Systems

Next Frontier Capital

Plano (TX)

On-site

USD 140,000 - 190,000

Full time

14 days+
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Job summary

JPMorganChase in Plano, Texas, is seeking a Lead Software Engineer to join Global Finance Technology. You will drive end-to-end cloud-native microservices, mentor teams, and influence architecture while delivering secure, scalable software in an agile environment.

The role emphasizes AI-assisted engineering practices, secure coding, and proactive problem solving across REST, WebSockets, SQL/NoSQL, and multi-cloud platforms.

Qualifications

  • 5+ years of hands-on software engineering experience including system design, app development, testing, and operations.
  • Proficiency in back-end technologies (Python, Flask, Django) and microservices; front-end skills (HTML, CSS, JS, TS, React/Angular) for full-stack roles.
  • Ability to solve design challenges independently with minimal supervision.
  • Experience with cloud platforms (AWS/Azure/GCP), distributed systems, REST APIs, WebSockets, JSON.
  • Experience with SQL and NoSQL databases and with agile SDLC.

Responsibilities

  • Deliver end-to-end cloud-native microservices-based solutions using modern tech stacks.
  • Model domains to build scalable, testable, evolvable business products.
  • Write secure, high-quality production code and review peers.
  • Improve stability by automating remediation of recurring issues.
  • Promote AI-assisted development practices with measurable validation standards.

Skills

Python
Flask
Django
AWS/Azure/GCP
REST APIs
SQL/NoSQL
CI/CD
AI-assisted development
Agile methodologies
Security

Education

Formal training or certification in software engineering

Tools

AWS
Azure
GCP

Job description

JPMorganChase in Plano, Texas, is seeking a Lead Software Engineer to join Global Finance Technology. You will drive end-to-end cloud-native microservices, mentor teams, and influence architecture while delivering secure, scalable software in an agile environment.

The role emphasizes AI-assisted engineering practices, secure coding, and proactive problem solving across REST, WebSockets, SQL/NoSQL, and multi-cloud platforms.

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