Kettle Tech Stack

Climate risk modeling and insurance underwriting with machine learning

Insurance Lemoore, California 11–50 employees Privately Held

Kettle applies machine learning to quantify climate-driven catastrophic risk and underwrite policies against it. The stack is cloud-native (AWS Lambda, ECS, RDS, PostgreSQL) with strong infrastructure-as-code discipline (Terraform, CloudFormation, CDK), and current project focus—CI/CD, deployment reliability, observability—signals an engineering organization scaling from early product-market fit into operational rigor. All six active hires are senior-level engineering and product roles, suggesting they're building depth rather than breadth.

Tech Stack 17 technologies

Core StackAWS AWS Lambda AWS RDS SAS Docker Terraform CloudFormation PostgreSQL Python React TypeScript Datadog CloudWatch AWS ECS IAM AWS SNS AWS CDK

What Kettle Is Building

◆Challenges

Deployment reliability
Observability
Infrastructure consistency
Expanding all other perils property coverage
Improving wildfire risk modeling
Scaling engineering infrastructure
Maintaining core backend
Improving build systems

▲Active Projects

Internal dashboards
Implementing infrastructure-as-code
Implement new policy administration platform
Launch new product initiatives
Rollout of new underwriting or mapping products
Scaling engineering infrastructure
Terraform infrastructure-as-code
Deployment reliability improvements
Ci/cd pipeline improvement
Devops posture improvement

Hiring Activity

Accelerating6 roles · 4 in 30d

Department

Engineering

Product

Seniority

Senior

Company intelligence

Find more companies like Kettle by tech stack, pain points and active projects

Get started free

About Kettle

Kettle underwrites insurance and reinsurance policies for climate-driven catastrophic risks like wildfires and hurricanes, using machine learning to model and price exposure. The company operates from Lemoore, California with a small, senior-focused team of 11–50 employees. Revenue model flows from direct premium underwriting and reinsurance transactions. Current work spans wildfire risk modeling, expanding peril coverage (beyond wildfire into hurricane and other perils), and a new policy administration platform—each requiring both actuarial domain work and backend infrastructure maturity.

HeadquartersLemoore, California

Company Size11–50 employees

Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Kettle use?

AWS services (Lambda, ECS, RDS, SNS), PostgreSQL, Python backend, React/TypeScript frontend, Terraform and CloudFormation for infrastructure-as-code, Datadog and CloudWatch for observability, Docker for containerization, and SAS for actuarial modeling.

What is Kettle working on?

Infrastructure-as-code rollout, CI/CD and deployment reliability, observability and monitoring, a new policy administration platform, and expanding wildfire and property risk modeling capabilities.