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On-demand geospatial risk scoring

Backend Engineer

€30k – €60k • 0.25% – 1.0%
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Kernel is a fast-moving startup based in Paris with the mission of unlocking the potential of geospatial data to model climate and man-related risks.
We are looking for people who share the same ambitious goals and want to make a difference by joining our small and talented team!

Kernel unlocks the vast potential of real-world geospatial data, by standardizing and linking hundreds of disparate datasets to deliver trusted, data-based risk intelligence. Kernel Platform rapidly integrates any type of structured or unstructured geospatial data and harness sources as varied as satellite imagery, radars and open data. We work with top-tier (re)insurers, public institutions and industrial groups in Europe and the US.

Kernel is the place to be if you want to help global institutions quantify, manage and understand the world's most complex risks. Thanks to Kernel, organisations will make informed decisions that safeguard trillions of dollars in at-risk infrastructure and assets from climate or man-related risks.

We are building an incredible company with the mission of reshaping how climate and man-related risk are assessed. We are a team of engineers working on diverse set of fields: computer vision, machine learning, simulation, etc. We are looking for problem solvers: self-motivated, results-driven and creative individuals to help us bring transparency to the most complex risk that institutions and individuals face.


As an early employee, you will get to take a leading role in the team.
We are looking for a backend engineer responsible for managing the interchange of data between the server and a suite of services: data sourcing pipeline, data completion service, normalizers, prediction service, training pipeline, optimization module. This architecture should be replicable across clients.

- Responsible for designing, building, and maintaining efficient, reusable and reliable code. You will tackle problems relating to critical services and prevent problem recurrence

- Manage build/deployment pipelines for continuous integration and continuous delivery - to improve the quality and availability of Kernel’s solution

- Maintain services once they are live by measuring and monitoring availability, latency and overall system health

- Identify bottlenecks and bugs, and devise solutions to these problems

- Ensure high performance and responsiveness to external requests


In addition to the following technical skills, we are looking for PROBLEM SOLVERS with an entrepreneurial mindset.

- Proven work experience as a backend developer with a focus on machine learning projects

- Exceptional knowledge of at least one backend programming language (Golang, Ruby on Rails, Node, Java, ...)

- Strong experience with Python

- Experience in developing and deploying software in a rapid cycle using Agile methodologies and code versioning tools (Git)

- Experience with Test Driven Development, Continuous Integration and Continuous Delivery

- Experience in Technical Operations or IT Operations in an always-up, always-available service

- Background in Linux/Unix Administration and shell scripts

- Experience with Docker, Terraform

- Ability to use a wide variety of open source technologies and cloud services (AWS)

- Strong ability to troubleshoot complex issues ranging from system resources to application stack traces

- Experience with database configuration/administration (PostgresSQL, Redis, MS SQL Server, Redshift)

-Understanding of front-end technologies (JS, HTML5, CSS3)

-Strong intellectual curiosity and ability to solve difficult problems with minimal supervision

-Be proactive, creative and eager to learn

-English proficient
Job type
Visa sponsorship
Not Available
Hiring contact

Benjamin Pujol

Avatar for Benjamin Pujol

Kernel Risk at a glance

On-demand geospatial risk scoring

Kernel Risk focuses on Fin Tech and Insurtech. Their company has offices in Paris. They have a small team that's between 1-10 employees.

You can view their website at http://www.kernelrisk.com

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