FinOps SRE: Cloud Cost, AI Infra & Platform Automation

LexisNexis Risk Solutions; Yamato (FL); On-site; USD 105,000 - 175,000; Full time

Benefits offered by this job

Health benefits

401(k) with match

Employee stock purchase plan

Wellbeing platform

Headspace app subscription

Employee assistance program

Paid time off and volunteering leave

Annual incentive bonus eligibility

Job summary

LexisNexis Risk Solutions is seeking a FinOps Site Reliability Engineer to embed cost governance into infrastructure, automation, and observability. The role focuses on optimizing cloud spend across Azure and AWS while maintaining reliability and performance in a cloud-native environment.

The ideal candidate has 5+ years in SRE/platform/cloud roles, hands-on Azure/AWS/Kubernetes/Terraform, and experience leading FinOps and AI platform support.

Qualifications

• 5+ years in Site Reliability Engineering, Platform or Cloud Engineering roles.
• Hands-on experience with Azure, AWS, Kubernetes and Terraform.
• Proven track record leading cloud cost optimization and FinOps initiatives.
• Experience supporting AI, ML or Generative AI platforms.

Responsibilities

• Lead cloud cost optimization initiatives across Azure and AWS.
• Develop IaC and cloud automation solutions.
• Build CI/CD and GitOps capabilities to improve platform delivery.
• Mentor engineers and provide guidance on cloud, FinOps and platform initiatives.
• Drive governance, monitoring, and financial accountability for AI services.
• Lead technology evaluations, PoCs and platform modernization efforts.

Skills

Cloud cost optimization

FinOps

Kubernetes

Terraform

Azure

AWS

Automation

Observability

AI platforms

Tools

Terraform

Kubernetes

Job description

LexisNexis Risk Solutions is seeking a FinOps Site Reliability Engineer to embed cost governance into infrastructure, automation, and observability. The role focuses on optimizing cloud spend across Azure and AWS while maintaining reliability and performance in a cloud-native environment.

The ideal candidate has 5+ years in SRE/platform/cloud roles, hands-on Azure/AWS/Kubernetes/Terraform, and experience leading FinOps and AI platform support.