Cloud FinOps Senior Engineer

Verisk Analytics•Jersey City, NJ

1d•Hybrid

About The Position

Purpose of the role Identify and recommend cost optimization opportunities in the cloud. Drive change to cloud costs from the center. Learn and support existing FinOps practices for AWS and Azure. Assist in development of FinOps practices. Assist in ongoing development of a self-service environment for cloud cost transparency. Duration: Full Time

Requirements

7+ years of experience in support of technology infrastructure or system architect.
5+ years of experience in understanding CPU, memory, and performance metrics.
2+ years of experience writing SQL.
Demonstrated experience integrating and thoughtfully applying AI to enhance workflows, decision-making, and problem-solving, including the use of AI-enabled tools, automation, insight generation, and evaluation of AI’s broader impact on the function or industry.
Strong communication and presentation skills.
Ability to build relationships to drive change.
Proactive and self-driven mindset.

Nice To Haves

AWS cloud experience preferred.
FinOps and/or AWS Certifications preferred
Python experience preferred.

Responsibilities

Research into AWS cloud service offerings on an ongoing basis to present new angles for cost optimization of each cloud service
Lead initiatives to identify and implement cost-saving opportunities through rightsizing, reserved instances, and workload scheduling
Lead architecture reviews with a strong focus on cloud best practices, providing technical leadership across enterprise initiatives including platform rationalization, infrastructure modernization, and data architecture optimization.
Serve as a strategic advisor to engineering, product, and finance teams on cloud cost implications, trade-offs and best practices
Maintain deep awareness of cloud pricing models, FinOps best practices, and emerging technologies such as Generative AI, Agentic AI and Model Context Protocols (MCPs)
Leverage the AWS CLI to retrieve metadata to identify additional information necessary for cost transparency.
Support the Densify product and interpret analysis to suggest actionable items.
Develop processes to identify cost transparency in AWS and Azure
Create KPIs as a measure of cost optimization in the cloud.
Mentor engineers and technical leads on design best practices and emerging technologies.
Support the AWS Cost and Usage Report (CUR) platform in Athena and PowerBI.
Learn the financial side of FinOps to facilitate an interdisciplinary approach to cloud cost optimization.
Learn and influence on the ongoing development of our mature, homegrown FinOps solution
Propose and implement new CUR architecture to address challenges in managing the large dataset.
Present cloud financials and cloud cost optimization opportunities.
Estimate cloud costs for migrations to the cloud.