JOB DESCRIPTION
Assume a vital position as a key member of a high-performing team that delivers infrastructure and performance excellence. Your role will be instrumental in shaping the future at one of the world's largest and most influential companies.
As a Lead Infrastructure Engineer at JPMorganChase within Community and Consumer Banking, you will play a pivotal role in leveraging GenAI and agentic AI to drive technology infrastructure cost optimization across both on-premises and cloud environments.This hands-on position centers on developing, implementing, and evangelizing GenAI-driven solutions and intelligent agents that continuously optimize spend, automate cost management, and deliver maximum value from our application infrastructure investments. You will collaborate with cross-functional teams to architect, build, and deploy AI-powered agents that enhance reliability, scalability, security, and cost effectiveness of our banking platforms.
Job Responsibilities
Required Qualifications, Capabilities, and Skills
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5+ years of experience in infrastructure engineering, software deployment, or related fields.
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Strong understanding of cloud infrastructure and multiple cloud technologies with experience using infra-as-code technologies (e.g., Terraform).
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Infrastructure engineering technical depth such as hardware, networking, databases, storage, deployment, integration, automation, scaling, resilience, and performance assessments.
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Proven experience leveraging GenAI and agentic AI to automate and develop enterprise software delivery and cost optimization solutions
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Hands-on experience implementing FinOps and GenAI agents to optimize AWS cloud costs, with deep understanding of levers available to optimize cloud costs.
Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support infrastructure engineering workflows with strong validation habits and awareness of data sensitivity.
Ability to review and validate AI-assisted recommendations before implementation, escalating when uncertain and ensuring outcomes align to resiliency, security, and auditability expectations.
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Strong communication and collaboration skills and a demonstrated ability to develop technical and cross-functional knowledge outside of the product domain.
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Proficient in coding with modern scripting languages and infrastructure as code practices.
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Advanced understanding of AWS services for Traditional Compute, Containerization, and Serverless architectures.
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Expert-level experience in developmental toolsets including Jira, BitBucket, and Confluence.
Preferred Qualifications, Capabilities, and Skills
- Degree in Computer Science, Engineering, Mathematics, or a related field and expertise in technology disciplines.
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Certifications such as FinOps Practitioner or FinOps Professional.
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AWS certifications such as Certified Cloud Practitioner.
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Experience leading automation projects using GenAI and agentic AI.
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