GenAI-Driven Cloud Automation Lead (AWS/FinOps)

JPMorgan Chase & Co.; Wilmington (DE); On-site; USD 150,000 - 190,000; Full time

Job summary

JPMorganChase is seeking a Lead Infrastructure Engineer - GenAI/AI Automation/AWS to join the Consumer and Community Banking team in Wilmington, DE. You will apply GenAI to automate cost optimization across infrastructure, collaborate across teams, and drive governance and security in cloud deployments.

The role emphasizes hands-on engineering, cost governance, and cross-functional collaboration, with a focus on scalable automation and up-to-date documentation.

Qualifications

• 5+ years of infrastructure engineering experience.
• Strong understanding of cloud infrastructure and multiple cloud technologies.
• Experience with public cloud cost management and optimization tools.
• Proven experience leveraging GenAI to automate software delivery and cost optimization.
• Hands-on FinOps and GenAI for AWS cost optimization.

Responsibilities

• Lead development and integration of GenAI-powered agents across the application and infrastructure lifecycle to automate cost optimization.
• Identify and quantify cloud cost optimization opportunities using GenAI models and data tooling.
• Design, implement, and scale GenAI-based recommendations and best practices for cost efficiency.
• Develop automation runbooks and Policy as Code initiatives to improve cloud governance.
• Guide teams in adopting cost-saving architectural, operational, and performance decisions.
• Communicate FinOps principles and GenAI capabilities to stakeholders and maintain cost dashboards.

Skills

GenAI

FinOps

Cost Optimization

Automation

AWS Expertise

Communication

Tools

Terraform

Python

Confluence

Git

Job description

JPMorganChase is seeking a Lead Infrastructure Engineer - GenAI/AI Automation/AWS to join the Consumer and Community Banking team in Wilmington, DE. You will apply GenAI to automate cost optimization across infrastructure, collaborate across teams, and drive governance and security in cloud deployments.

The role emphasizes hands-on engineering, cost governance, and cross-functional collaboration, with a focus on scalable automation and up-to-date documentation.