Platform Engineer, FinOps

Natera is a global leader in cell-free DNA testing, dedicated to oncology, women’s health, and organ health. They are seeking a Platform Engineer, FinOps to support the scaling of financial operations across AWS and strategic SaaS platforms, focusing on building an AI-native FinOps ecosystem and automating cost attribution and anomaly detection.

Responsibilities:

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

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)