L Finops Senior Site Reliability Engineer Ii LexisNexis Risk Solutions
Listed on 2026-08-30
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IT/Tech
SRE/Site Reliability, Cloud Computing: Infrastructure & Operations, Systems Engineer
Finops Senior Site Reliability Engineer Ii
Full-time
About the JobThis job is with Lexis Nexis® Risk Solutions, an inclusive employer and a member of my Gwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.
About the role:
A Fin Ops Site Reliability Engineer (SRE) bridges the gap between engineering, operations, and financial governance by embedding cost optimization into infrastructure design, automation, monitoring, and operational processes. A Fin Ops SRE proactively identifies waste, improves resource utilization, automates cost controls, and enhances visibility into cloud spending while maintaining service reliability and performance.
The ideal candidate is a cloud-native SRE with strong experience in Azure, AWS, Kubernetes, Terraform, observability, automation, AI platforms, and cloud financial management.
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 Git Ops 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, Fin Ops, and platform initiatives.
- Lead technology evaluations, proofs of concept, and platform modernization efforts.
- Drive adoption of engineering, governance, and operational excellence standards.
Requirements:
- 5+ years of experience in Site Reliability Engineering, Platform Engineering, Cloud Engineering, Dev Ops, 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 Fin Ops initiatives.
- Experience supporting AI, machine learning, or Generative AI platform capabilities.
- Fin Ops Certification (Nice to have)
Working for you:
We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
- Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan
- Wellbeing:
Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs - Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity
- Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits
- Health Savings, Health Care, Dependent Care and Commuter Spending Accounts
- In addition to annual Paid Time Off, we offer up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice
This job is with Lexis Nexis® Risk Solutions, an inclusive employer and a member of my Gwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.
About the role:
A Fin Ops Site Reliability Engineer (SRE) bridges the gap between engineering, operations, and financial governance by embedding cost optimization into infrastructure design, automation, monitoring, and operational processes. A Fin Ops SRE proactively identifies waste, improves resource utilization, automates cost controls, and enhances visibility into cloud spending while maintaining service reliability and performance.
The ideal candidate is a cloud-native SRE with strong experience in Azure, AWS, Kubernetes, Terraform, observability, automation, AI platforms, and cloud financial management.
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 Git Ops 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, Fin Ops, and platform initiatives.
- Lead technology evaluations, proofs of concept, and platform modernization efforts.
- Drive adoption of engineering, governance, and operational excellence standards.
Requirements:
- 5+ years of experience in Site Reliability Engineering, Platform Engineering, Cloud Engineering, Dev Ops, or Systems Engineering.
- Hands-on experience with Azure, AWS,…
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