Lead Infrastructure Engineer, GenAI & CloudFormation

JPMorgan Chase

Quick summary

Work type
On-site
Location
Hyderabad, Telangana, India
Posted
3 days ago

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Salary context

How this pay compares to similar roles

Similar $179k
$124k most similar roles pay here $226k

This listing doesn't post a salary. Most similar roles pay $147,725–$211,200.

Based on 240 similar postings.

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About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 368 open roles on FindRole.

Listed pay typically runs $152,000–$215,000 across 198 roles with salary data.

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At a glance

TL;DR · Lead Infrastructure Engineer, GenAI & CloudFormation

As a Lead Infrastructure Engineer at JPMorganChase within the Consumer & Community Banking team, you will drive technology infrastructure cost optimization using GenAI and agentic AI across both on-premises and cloud environments. Your daily tasks include developing and integrating GenAI-powered agents to automate cost management and improve efficiency throughout the application lifecycle. You will collaborate with cross-functional teams to design and implement intelligent solutions that enhance reliability, scalability, and security while reducing costs. Key responsibilities involve analyzing cloud cost optimization opportunities, implementing automation runbooks, and communicating FinOps principles to stakeholders. The ideal candidate has extensive experience in infrastructure engineering, proficiency in AWS services, and hands-on expertise with Terraform for infra-as-code practices. Additionally, strong communication skills and a deep understanding of GenAI applications are essential for this role, which operates at the forefront of cost optimization in large-scale banking platforms.

What you'll do

  • Lead the development of GenAI-powered agents to automate cost optimization in infrastructure lifecycle phases.
  • Analyze cloud cost data to identify and prioritize optimization opportunities using GenAI models.
  • Design and implement automation runbooks for cloud cost efficiencies, leveraging Policy as Code initiatives.
  • Guide teams in adopting architectural decisions that enhance operational efficiency and performance.
  • Communicate FinOps principles and GenAI agent capabilities to stakeholders, maintaining dashboards of cost savings.

What we're looking for

  • 5+ years of experience in infrastructure engineering or related fields
  • Strong understanding of cloud technologies and infra-as-code practices (e.g., Terraform)
  • Proven experience using GenAI and agentic AI for cost optimization solutions
  • Hands-on expertise in AWS services including Traditional Compute, Containerization, and Serverless architectures
  • Advanced knowledge of developmental toolsets like Jira, BitBucket, and Confluence
  • Degree in Computer Science, Engineering, Mathematics or related field required
  • Certifications such as FinOps Practitioner or AWS Certified Cloud Practitioner preferred

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