Lead Infrastructure Engineer - FinOPs

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 - FinOPs at JPMorganChase within the Corporate Sector, Corporate Technology Team, you apply deep knowledge of software, applications, and technical processes within the infrastructure engineering discipline. Continue to evolve your technical and cross-functional knowledge outside of your aligned domain of expertise.

Job responsibilities
- Work closely with both technical and non-technical teams to align infrastructure decisions.
- Optimize cloud usage and AI token consumption and advise stakeholders on cost-efficient architecture.
- Analyze usage and billing data, and develop FinOps capabilities for AI agents across AWS and multi-cloud environments
- Applies technical expertise and problem-solving methodologies to projects of moderate scope and executes creative solutions for design, development, and technical troubleshooting for problems of moderate complexity
- Uses enterprise-authorized AI capabilities within the work environment to accelerate infrastructure analysis and design documentation, validating outputs and handling operational data according to sensitivity and security requirements.
- Drives a workstream or project consisting of one or more infrastructure engineering technologies and works with other platforms to architect and implement changes required to resolve issues and modernize the organization and technology processes
- Strongly considers upstream and downstream data and systems or technical implications and advises on mitigation actions
- Applies reuse-first, AI-assisted practices within delivery and automation routines to identify recurring issues and validate remediation options, ensuring changes are traceable/auditable and aligned to resiliency and security expectations.
Required qualifications, capabilities, and skills
- Formal training or certification on infrastructure engineering concepts and 5+ years applied experience
- Experience with infrastructure optimization prem and/or cloud
- Experience Databricks catalog and queries.
- Token knowledge (how they are being used at the application level)
- Experience with Python coding
- Deep knowledge of AWS cloud infrastructure and multiple cloud technologies with the ability to operate in and migrate across public and private clouds
- Deep knowledge of one or more areas of infrastructure engineering
- 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.
Preferred qualifications, capabilities, and skills
- FinOps practices to AI/agent workloads
- Data Wrangling
- SRE practices