Senior FinOps SRE: Cloud Cost, AI Platforms & Automation

Relx Plc; Boca Raton (FL); Hybrid; USD 105,000 - 175,000; Full time

Benefits offered by this job

Health benefits

401(k) with match

Wellbeing platform

Disability & life insurance

Family benefits

Health savings accounts

Job summary

LexisNexis Risk Solutions is seeking a FinOps Site Reliability Engineer to embed cost governance into infrastructure design, automation, and monitoring. You will drive cloud cost optimization on Azure and AWS, build IaC and CI/CD pipelines, and support AI platforms while upholding reliability.

The ideal candidate has 5+ years in SRE/DevOps, hands-on Azure, AWS, Kubernetes, and Terraform, plus strong observability and automation skills.

Qualifications

• 5+ years of experience in Site Reliability Engineering, Platform Engineering, Cloud Engineering, DevOps, or Systems Engineering.
• Hands-on experience with Azure, AWS, Kubernetes, and Terraform.
• Proven experience implementing cloud automation and observability solutions.
• Experience leading cloud cost optimization and FinOps initiatives.
• Experience supporting AI, machine learning, or Generative AI platform capabilities.
• FinOps Certification (Nice to have)

Responsibilities

• Lead cloud cost optimization initiatives across Azure and AWS.
• Drive optimization initiatives involving compute, storage, AI workloads, networking, and managed services.
• Support enterprise AI, Generative AI, and machine learning platforms.
• Implement governance, monitoring, and financial accountability for AI services and GPU-enabled environments.
• Develop Infrastructure as Code (IaC) and cloud automation solutions.
• Build CI/CD and GitOps capabilities that improve platform delivery and consistency.
• Eliminate manual processes through automation and self‑service capabilities.
• Promote engineering efficiency through reusable patterns, templates, and tooling.
• Mentor engineers and provide technical guidance across cloud, FinOps, and platform initiatives.
• Lead technology evaluations, proofs of concept, and platform modernization efforts.
• Drive adoption of engineering, governance, and operational excellence standards.

Skills

Cloud platforms experience

Azure

AWS

Kubernetes

Terraform

Observability

Automation

FinOps

AI/ML platform experience

Tools

Kubernetes

Terraform

Job description

LexisNexis Risk Solutions is seeking a FinOps Site Reliability Engineer to embed cost governance into infrastructure design, automation, and monitoring. You will drive cloud cost optimization on Azure and AWS, build IaC and CI/CD pipelines, and support AI platforms while upholding reliability.

The ideal candidate has 5+ years in SRE/DevOps, hands-on Azure, AWS, Kubernetes, and Terraform, plus strong observability and automation skills.