Lead Software Engineer: AI-Driven Cloud Platform (Java/Python)

Next Frontier Capital

Houston (TX)

On-site

USD 170,000 - 230,000

Full time

14 days+
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Job summary

JPMorganChase in Houston seeks a Lead Software Engineer to join the Corporate Data and Analytics Services team. You will act as a core technical contributor, building trusted, scalable technology products within an agile environment while aligning with security and resiliency standards.

The role emphasizes hands-on design and development, AI-assisted engineering practices, and collaboration across vendors and internal teams to drive reliable, high-quality software solutions for complex financial

Qualifications

  • Formal training or certification in software engineering with 5+ years practical experience.
  • Experience delivering system design, development, testing, and operations.
  • Strong in one or more languages (Python, Java, Databricks, AWS) and AI-assisted tooling usage.
  • Excellent stakeholder management and communication; agile and secure practices.

Responsibilities

  • Design, develop, and troubleshoot software solutions beyond routine approaches.
  • Write secure, high-quality production code and review others' code.
  • Promote enterprise AI-assisted engineering practices to improve quality and speed.
  • Leverage SDLC tools and AI-assisted development for automation.
  • Identify and automate recurring issues to improve stability.
  • Lead evaluation sessions with vendors and internal teams on architecture.

Skills

Programming languages
AI-assisted development
Stakeholder management
Agile methodologies
Data analytics
Security/compliance

Education

Software engineering degree or certification

Tools

Databricks
AWS
CI/CD
Security tooling

Job description

JPMorganChase in Houston seeks a Lead Software Engineer to join the Corporate Data and Analytics Services team. You will act as a core technical contributor, building trusted, scalable technology products within an agile environment while aligning with security and resiliency standards.

The role emphasizes hands-on design and development, AI-assisted engineering practices, and collaboration across vendors and internal teams to drive reliable, high-quality software solutions for complex financial

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