Position Summary: 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.
What You’ll Do 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.
What You Bring
- Cloud Expertise: 4+ years of experience in Cloud Engineering (AWS strongly preferred) with a strong understanding of cloud cost drivers.
- FinOps Mindset: Proven experience delivering measurable cost optimization or cloud governance impact.
- Programming Skills: Proficiency in Python for building production-grade automation and interacting with AWS SDKs and APIs.
- AI/ML Logic: Experience applying AI techniques (such as summarization or RAG) to operational workflows. You understand how to make LLMs “useful” for data tasks.
- Data Proficiency: Strong SQL skills and experience working with large-scale datasets; experience with Snowflake or NoSQL databases and building ELT pipelines is a plus.
- DevOps Toolkit: Hands-on experience with Terraform, GitLab CI/CD, and Kubernetes (EKS).
Why This Role Matters At Natera, we don’t just analyze costs, we build intelligent systems that make cost intelligence automatic. As a Platform Engineer, FinOps, you will be at the forefront of the shift toward AI-native infrastructure, ensuring that our growth remains sustainable through cutting-edge automation and intelligent orchestration.
The pay range is listed and actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations.
Remote USA
$105,700—$132,100 USD