Platform Engineer, FinOps

Natera

17h • Remote

About The Position

Natera is seeking a Platform Engineer, FinOps to support the scaling of our financial operations across AWS and strategic SaaS platforms. This role is designed for a mid-level engineer who bridges the gap between cloud infrastructure, data engineering, and financial accountability. You will be a key contributor to our "AI-first" engineering culture, not only maintaining traditional cost-visibility tools but also helping to build and maintain an AI-native FinOps ecosystem. You will work to move beyond manual reporting toward autonomous FinOps, leveraging agentic workflows to automate cost attribution and anomaly detection.

Requirements

• 4+ years of experience in Cloud Engineering (AWS strongly preferred) with a strong understanding of cloud cost drivers.
• Proven experience delivering measurable cost optimization or cloud governance impact.
• Proficiency in Python for building production-grade automation and interacting with AWS SDKs and APIs.
• Experience applying AI techniques (such as summarization or RAG) to operational workflows. You understand how to make LLMs "useful" for data tasks.
• Strong SQL skills and experience working with large-scale datasets; experience with Snowflake or NoSQL databases and building ELT pipelines is a plus.
• Hands-on experience with Terraform, GitLab CI/CD, and Kubernetes (EKS).

Responsibilities

• Maintain and evolve scalable cost ingestion pipelines, specifically focused on the AWS Cost and Usage Report (CUR).
• Help embed AI-driven intelligence into the platform to enable predictive scaling and automated cost-saving recommendations.
• Leverage GitLab CI/CD pipelines to version, deploy, and automate FinOps governance workflows.
• Manage FinOps-related infrastructure using Terraform to ensure controlled development and release practices.
• Support ingestion and normalization of cost and usage data from SaaS platforms using APIs and integrations.
• Build and maintain advanced Amazon QuickSight dashboards, utilizing dataset modeling and row-level security to provide clear insights to engineering teams.
• Implement and operationalize AI-driven cost alerts to improve signal-to-noise ratios and accelerate root cause analysis.
• Support the integration of natural language interfaces into our Internal Developer Portal (IDP), allowing engineers to interact with cost data through conversational AI.
• Implement monitoring and data quality checks to ensure cost data accuracy and completeness.
• Support the modeling and tracking of Savings Plans and Reserved Instances to ensure high coverage and utilization.
• Enforce tagging standards and cost allocation models to ensure financial discipline keeps pace with technical innovation.
• Assist in developing "day two" operational tools that use agentic reasoning to solve complex cost attribution challenges.

Benefits

• Comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents.
• Free testing for employees and their immediate families.
• Fertility care benefits.
• Pregnancy and baby bonding leave.
• 401k benefits.
• Commuter benefits.
• Generous employee referral program.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 501-1,000 employees