Senior Full-stack Software Engineer, Kettle
+ Stock options (subject to board approval)
ML-powered reinsurer for climate change risk
Job no longer available
ML-powered reinsurer for climate change risk
21-100 employees
Job no longer available
+ Stock options (subject to board approval)
21-100 employees
Company mission
To protect the world against climate change using deep learning and reinsurance.
Role
Who you are
- Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent professional experience)
- 5+ years of professional software development experience, including ownership of production systems
- Experience in python development, including packaging and environment management
- Strong DevOps skillset, including AWS (Lambda, ECS, EC2, S3, IAM, RDS, SAS, SNS), Docker, container orchestration, CI/CD, and monitoring systems (CloudWatch, Datadog, or similar)
- Full-stack engineering experience, with solid understanding of backend (Python preferred) and front-end frameworks (React/TypeScript ideal)
- Experience implementing infrastructure-as-code using Terraform, AWS CDK, or CloudFormation
- Strong experience with Postgres and building scalable database-backed apps
- Experience improving build systems, deployment pipelines, testing framework, and system reliability in a cloud-native environment
- Ability to work cross-functionally in a fast-paced remote environment and contribute to architectural decisions
- Strong communication skills and the ability to translate technical concepts for non-technical stakeholders
What the job involves
- We’re looking for a Senior Full-stack Software Engineer with strong DevOps experience and front-end abilities to join our engineering team
- In this role, you will architect, build, and maintain core systems across our AWS-based stack, contribute to front-end product development, and help scale Kettle’s engineering infrastructure as we grow
- You’ll work closely with data engineering, modeling, risk, and product teams to deliver performant, reliable, and secure systems that support our underwriting platform and geospatial analytics tools
- Work on the development and maintenance of Kettle’s core backend and infrastructure, including AWS-based services, containerized workloads, CI/CD pipelines, and internal tooling
- Design, build, and maintain front-end features for internal dashboards and customer-facing interfaces. React/TypeScript and experience with low-code systems are appreciated
- Own DevOps initiatives, including observability, logging, monitoring, deployment reliability, cost optimization, and security best practices
- Collaborate in the design, development, testing, and monitoring of our internal and external APIs
- Drive architecture decisions across backend, infrastructure, and application layers to ensure scalability, resilience, and maintainability
- Implement infrastructure-as-code (IaC) with terraform to enforce consistent environments and repeatable deployments
- Improve engineering workflows and internal tools, including low-code automation when helpful for ops and underwriting teams
- Participate in code reviews, DevOps planning cycles, and cross-functional engineering discussions to strengthen system quality and team alignment
- Other engineering responsibilities as assigned, including supporting the rollout of new underwriting or mapping products
Our take
The evolving issue of wildfires has cost insurers in Western states dozens of billions of dollars over the past few years. Reinsurers, the firms that provide coverage to insurance companies in case of large events or disasters, have been struck just as hard. Kettle has developed a tech solution to help them combat the emerging and serious threat this poses to the industry.
The company has created an AI/ML solution to help reinsurers make more fine-grained predictions based on statistical models that look at over 7B data points from satellites, weather, MODIS, LIDAR, and ground truth. The idea is to both protect reinsurers from the worst payouts and to eventually shield consumers from exorbitant costs that are currently being passed down in the form of steeply rising insurance premiums.
This is a hot-button topic in Kettle’s California home turf, and if Kettle’s solution works out, it could prove a much-needed tonic to the sector. Much will pivot on how accurate its predictions are, which has provoked some scepticism from major insurers. However, Kettle has predicted the worst fires of the last two years with remarkable accuracy, which could prove the impetus needed to help it gather momentum.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (2 rounds)
Nov 2021
$25m
SERIES A
Oct 2020
$4.8m
SEED
Total funding: $29.8m
Company benefits
- Stock: Ownership in a fast-growing venture-backed company
- 401k matching: We care about your ability to save for your future
- Family Focus: Parental leave and flexibility for families
- Time Off: Flexible vacation policy to encourage people to get out and see the world
- Healthcare: Platinum level Medical, dental, and vision policies
- Goodies: Whatever hardware and software you need to get the job done
- Team Fun: Regularly scheduled events, annual retreat, and celebrations
- Learning: Learning & Development Opportunities to grow your skills and career
- Great team: Working with fun, hard-working, kind people committed to making a difference!
- Flexible culture: We are results-focused. We don’t work at the office every day
Company HQ
Kensington, CA
Leadership
Nathaniel Manning
(Co-Founder & Senior Advisor)Previously a Finance Associate for Clean Energy at the Clinton Foundation. After time serving as CEO of Fellow Robots, spent time at The White House as Special Advisor on Open Data at USAID, and meanwhile spent over 7 years as CEO of Ushahidi.
Son Le
(Co-Founder & CTO)Originally a Quantitative Researcher at AXA Advisors, and then worked as a Machine Learning Quant at Argo Group, ultimately taking up a Head Quant Engineer role there.
Andrew Engler
(Co-Founder & Board Member)Served as COO at Allstate, then its Commercial Field Sales Leader. Following that, served as VP of Digital Product and Machine Learning at Argo Group.
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