Senior Java & AI Lead Engineer: Innovate & Scale

JPMorgan Chase & Co.

Plano (TX)

On-site

USD 130,000 - 190,000

Full time

4 days ago
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Job summary

JPMorganChase is seeking a Lead Software Engineer to drive development of trusted market-leading technology within Consumer & Community Banking. You will lead production-grade code delivery, embracing AI-assisted engineering practices to boost quality, velocity, and security across microservices and cloud platforms.

The role requires 5+ years in software engineering, expertise in Java/Python/C#, and hands-on experience with LLMs and AI/ML frameworks.

Qualifications

  • Formal training or certification in software engineering concepts with 5+ years of applied experience.
  • Demonstrated experience leading effective use of AI-assisted software development tools with team validation of AI outputs.
  • Strong understanding of responsible AI use in engineering workflows and secure handling of data.

Responsibilities

  • Executes creative software solutions, design, development, and debugging of complex systems.
  • Develops secure high-quality production code and reviews peers' code.
  • Leads adoption of AI-assisted engineering practices and validation standards across the team.
  • Applies SDLC tools to improve automation and value delivery.
  • Identifies opportunities to automate remediation and improve stability of software applications.
  • Leads architecture evaluation sessions with vendors and internal teams.
  • Leads communities of practice to promote new technologies.

Skills

Java
Python
C#
LLMs
Generative AI
AWS
GCP
Azure
Microservices
REST APIs
Docker
Kubernetes
Jenkins
Postman
Eclipse
Maven
IntelliJ
JUnit

Education

Software engineering degree or equivalent

Tools

Docker
Kubernetes
Jenkins
Postman
Eclipse
Maven
IntelliJ
REST Assured

Job description

JPMorganChase is seeking a Lead Software Engineer to drive development of trusted market-leading technology within Consumer & Community Banking. You will lead production-grade code delivery, embracing AI-assisted engineering practices to boost quality, velocity, and security across microservices and cloud platforms.

The role requires 5+ years in software engineering, expertise in Java/Python/C#, and hands-on experience with LLMs and AI/ML frameworks.

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