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Lead Infrastructure Engineer

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Lead Infrastructure Engineer in USA new

  • JPMorgan Chase
  • Full time
  • Email
  • Wilmington, DE

Responsibilities

  • Lead development and integration of GenAI-powered agents across application and infrastructure lifecycles.
  • Identify, analyze, prioritize, and quantify AWS cloud cost optimization opportunities using GenAI models, intelligent agents, data repositories, reporting, and ETL tools.
  • Design and scale GenAI agent-based cost optimization recommendations and best practices.
  • Architect automation runbooks and Policy as Code initiatives to improve cloud cost efficiency and Cost Governance.
  • Guide end users and development teams on cost-effective architectural, operational, and performance decisions.
  • Communicate FinOps principles and GenAI agent capabilities to stakeholders and leadership while maintaining cost-savings dashboards.
  • Own FinOps-specific GenAI applications and agent processes, including compliance and documentation.
  • Drive infrastructure engineering workstreams, modernize technology processes, and advise on upstream and downstream technical implications.
  • Validate AI-assisted recommendations and ensure changes meet resiliency, security, traceability, auditability, and data-sensitivity expectations.

Requirements

  • Formal training or certification in infrastructure engineering concepts and 5+ years of applied experience.
  • Strong understanding of cloud infrastructure, multiple cloud technologies, and public cloud cost management and optimization tools.
  • Technical depth across infrastructure engineering, including hardware, networking, databases, storage, deployment, integration, automation, scaling, resilience, and performance assessment.
  • Proven experience using GenAI and agentic AI to automate enterprise software delivery and cost optimization solutions.
  • Hands-on AWS FinOps and GenAI agent experience with a deep understanding of cloud cost optimization levers.
  • Strong understanding of the FinOps Foundation Framework, including its capabilities, lifecycle, and domains.
  • Proficiency with modern scripting languages and infrastructure as code practices.
  • Advanced understanding of AWS services for traditional compute, containerization, and serverless architectures.
  • Ability to use, review, and validate enterprise-authorized AI capabilities while handling sensitive data appropriately.
  • AWS Engineering or Architect certification, FinOps Practitioner or FinOps Professional certification, or advanced infrastructure, cloud, or automation certifications is preferred.
  • Experience leading automation projects using GenAI and agentic AI is preferred.
  • Strong problem-solving, communication, collaboration, and technical cross-functional skills.

Benefits

  • Competitive total rewards and benefits package including comprehensive health care coverage, on-site health and wellness centers, retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching, and other eligibility-based programs; compensation and benefits details are provided during the hiring process.

Salary: Competitive

JPMorgan Chase

With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. We serve millions of customers and many of the ...

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