About the role
structured by ORIDrive AWS platform excellence using GenAI and agentic automation to streamline operations, improve reliability, and scale delivery now You belong to the top echelon of talent in your field. At one of the world's most iconic financial institutions, where infrastructure is of paramount importance, you can play a…
What you will do
- Applies technical knowledge and problem-solving methodologies to projects of moderate scope, with a focus on improving data and systems running at scale, and ensures end to end monitoring of applications
- Discover, analyze, and prioritize cloud cost optimization opportunities using GenAI models and intelligent agents; calculate potential savings and benefits leveraging data repositories, reporting, and ETL tools
- Collaborate with teams to design, implement, and scale GenAI agent-based cost optimization recommendations and best practices.
- Uses enterprise-authorized AI capabilities within the work environment to accelerate monitoring and capacity analysis and documentation, validating outputs and handling operational data according to sensitivity and security requirements.
- Resolves most nuances and determines appropriate escalation path
What they are looking for
- Formal training or certification on infrastructure engineering concepts and 3+ years applied experience
- Strong understanding of cloud infrastructure and multiple cloud technologies with experience using public cloud cost management and optimization tools.
- Infrastructure engineering technical depth such as hardware, networking, databases, storage, deployment, integration, automation, scaling, resilience, and performance assessments.
- Proven experience leveraging GenAI and agentic AI to automate and develop enterprise software delivery and cost optimization solutions
- Hands-on experience implementing FinOps and GenAI agents to optimize AWS cloud, including AI automation
- 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.
- Excellent problem-solving skills and ability to execute creative, GenAI-driven solutions for technical challenges; Strong understanding of the FinOps Foundation Framework, capabilities, lifecycle, and domains.
- Advanced understanding of AWS services for Traditional Compute, Containerization, and Serverless architectures.
- Strong knowledge of one or more scripting languages
- Experience with multiple cloud technologies (ability to operate in and migrate across public and private clouds)
Nice to have
- AWS Engineering or Architect certifications
- Certifications such as FinOps Practitioner or FinOps Professional.
- Advanced certifications in infrastructure engineering, cloud technologies, or automation.
- Exceptional verbal and written communication skills.
Full posting text
Drive AWS platform excellence using GenAI and agentic automation to streamline operations, improve reliability, and scale delivery now
You belong to the top echelon of talent in your field. At one of the world's most iconic financial institutions, where infrastructure is of paramount importance, you can play a pivotal role.
As an Infrastructure Engineer III - GenAI/AI Automation/AWS at JPMorganChase within the Consumer and Community Banking team, you utilize strong knowledge of software, applications, and technical processes within the infrastructure engineering discipline. Apply your technical knowledge and problem-solving methodologies across multiple applications of moderate scope.
Job responsibilities
Applies technical knowledge and problem-solving methodologies to projects of moderate scope, with a focus on improving data and systems running at scale, and ensures end to end monitoring of applications
Discover, analyze, and prioritize cloud cost optimization opportunities using GenAI models and intelligent agents; calculate potential savings and benefits leveraging data repositories, reporting, and ETL tools
Collaborate with teams to design, implement, and scale GenAI agent-based cost optimization recommendations and best practices.
Uses enterprise-authorized AI capabilities within the work environment to accelerate monitoring and capacity analysis and documentation, validating outputs and handling operational data according to sensitivity and security requirements.
Resolves most nuances and determines appropriate escalation path
Executes conventional approaches to build or break down technical problems while considering upstream and downstream data and systems or technical implications
Drives the daily activities supporting the standard capacity process applications and partners with application and infrastructure teams to identify potential capacity risks and govern remediation statuses
Accountable for making significant decisions for a project consisting of multiple technologies and applications
Applies reuse-first, AI-assisted approaches to identify recurring capacity risks and improve remediation workflows, ensuring changes are validated and aligned to resiliency and security expectations.
Required qualifications, capabilities, and skills
Formal training or certification on infrastructure engineering concepts and 3+ years applied experience
Strong understanding of cloud infrastructure and multiple cloud technologies with experience using public cloud cost management and optimization tools.
Infrastructure engineering technical depth such as hardware, networking, databases, storage, deployment, integration, automation, scaling, resilience, and performance assessments.
Proven experience leveraging GenAI and agentic AI to automate and develop enterprise software delivery and cost optimization solutions
Hands-on experience implementing FinOps and GenAI agents to optimize AWS cloud, including AI automation
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.
Excellent problem-solving skills and ability to execute creative, GenAI-driven solutions for technical challenges; Strong understanding of the FinOps Foundation Framework, capabilities, lifecycle, and domains.
Advanced understanding of AWS services for Traditional Compute, Containerization, and Serverless architectures.
Strong knowledge of one or more scripting languages
Experience with multiple cloud technologies (ability to operate in and migrate across public and private clouds)
Preferred qualifications, capabilities, and skills
AWS Engineering or Architect certifications
Certifications such as FinOps Practitioner or FinOps Professional.
Advanced certifications in infrastructure engineering, cloud technologies, or automation.
Exceptional verbal and written communication skills.