Lead Mainframe Engineer - AI-Driven Cloud Migration

JPMorgan Chase

Ohio

On-site

USD 150,000 - 210,000

Full time

5 days ago
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Job summary

JPMorgan Chase in Ohio seeks a Lead Software Engineer within the Consumer & Community Banking Mainframe team to drive secure, scalable technology and deliver trusted market-leading products.

You will lead a skilled agile team, guide modernization from mainframe to cloud-native solutions, and champion AI-assisted development to improve quality, speed, and resilience. Collaboration across functions is essential.

Qualifications

  • Formal training or certification on software engineering concepts.
  • 5+ years of applied software development experience.
  • Experience leading AI-assisted software development tools.
  • Strong understanding of secure, resilient software delivery.
  • Proficient across the Software Development Life Cycle and Agile practices.

Responsibilities

  • Executes creative software solutions and troubleshooting across domains.
  • Develops secure, high-quality production code and reviews peers.
  • Leads AI-assisted engineering adoption to improve quality and speed.
  • Plans modernization initiatives to migrate from Mainframe to cloud-native tech.
  • Delivers business objectives on the Mainframe platform.
  • Leads and mentors junior software engineers.
  • Collaborates on cross-functional teams to execute the product roadmap.

Skills

AI-assisted development
Cloud-native engineering
Mainframe modernization
Team leadership
Agile methodologies
Secure coding
Code review & debugging

Education

Software engineering training or certification

Tools

xpeditor
ZEKE
File Aid
Changeman
AbendAid
COBOL
VSAM
CICS
JCL
MQ

Job description

JPMorgan Chase in Ohio seeks a Lead Software Engineer within the Consumer & Community Banking Mainframe team to drive secure, scalable technology and deliver trusted market-leading products.

You will lead a skilled agile team, guide modernization from mainframe to cloud-native solutions, and champion AI-assisted development to improve quality, speed, and resilience. Collaboration across functions is essential.

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