DevOps Engineer – DataOps / MLOps (GCP, k8s, Terraform)
Descartes Underwriting

Descartes Underwriting

DevOps Engineer – DataOps / MLOps (GCP, k8s, Terraform)

  • Indefinido 
  • Paris

La empresa

Descartes Underwriting

Descartes Underwriting

  • Inteligencia artificial/Aprendizaje automático, Seguros, FinTech/InsurTech
  • Entre 50 y 250 empleados

La oferta

DevOps Engineer – DataOps / MLOps (GCP, k8s, Terraform)

  • Indefinido 
  • Paris

Who are they?

Born out of the conviction that climate change calls for a revolutionary approach in insurance to better protect corporations and governments, Descartes was founded in 2018 to change the industry status quo.

Around the world, Descartes Underwriting offers a new generation of parametric insurance that builds resilience against natural catastrophes & climate risks. Unlike traditional insurance, which relies on lengthy loss adjustment procedures, Descartes’ parametric products pay out when a predefined event (i.e. flood, cyclone, earthquake, etc.) occurs as measured by a specified parameter or index.

Descartes’ innovative edge stems from their ability to handle massive new data sources and apply proprietary algorithms that extract value for their clients. The team utilizes machine learning and advanced algorithms to unlock valuable underwriting insights from a wide range of sources, including IoT, satellite imagery, stationary sensors, radar and third party data. Not limited to looking backwards at claims history, they model the underlying phenomenon directly, capturing trends and potential climate change impacts to better protect corporate and public sector clients.

Descartes Underwriting
Want to know more about Descartes Underwriting?Company culture, teams, jobs... Let's go for an immersion!
Visit the profile

Job description

Due to our consistent growth, we are seeking to expand our Data, Software and DevOps team. At the core of our company, your main assignments will be to make direct contributions to the CI/CD and setup cloud resources to release, deploy, maintain and run our climate risk models. You will also have to provide support to data scientists and software engineers running and developing our models. Your secondary mission will be to connect the external tools to automate the flow of information between the tech and business side.


  • Setup, automate, maintain and update:
    • CI/CD pipelines
    • Data storage process
    • Package versioning and releasing pipeline
    • Docker environment
    • Modularization of code base
  • VM and compute instances:
    • Connections to external and internal APIs
    • Notification process with chat tools
    • Website hosting
    • Assess and evaluate the cost and the security of software architecture and implementation
  • Participate in:
    • Tech stack selection
    • Discussions with tech partners
    • Training of tech and underwriting teams
    • Support and debug of internal users
    • Management of IAM policies, groups and users


  • Cloud provider: GCP
  • Code versioning tool: Git + Gitlab
  • OS: Linux
  • Container: Docker
  • Container orchestrator: Kubernetes
  • Infrastructure as code tool: terraform
  • Scripting: bash
  • Code base: Python
  • Notification tool: Slack


  • Laptop: premium DELL XPS 15
  • OS: you decide



[Hard skills]

  • Knowledge of the tech stack or equivalent tools
  • Experience with Docker
  • Experience automating a CI/CD pipeline
  • Good command of English and fluency in French

[Soft skills]

  • Desire to train junior developers and explain CI/CD and cloud tools
  • Desire to suggest improvements to the architecture


  • Experience releasing python package
  • Experience working on data science projects or scientific code
  • Experience in HPC
  • Contribution to an open source project


  • Strong interest in climate issues (it’s not a hoax, many people suffer from it)
  • Being comfortable to work alongside corporate insurers (some still wear suits 👔)
  • Willingness to help junior developers (remember how you were when you started 💬)
  • Strong team spirit and ability to work (you’ll have to review code and have your code reviewed)
  • Rigorous, creative and meticulous mind (we handle large insurance, we take our time)
  • Strong desire to learn (there’s no limitation to the tech used, we’re happy to test and learn new tools)
  • Eagerness to work in a multi-cultural environment (policies and teams are from all around the world 🗺️)


  • Opportunity to work and learn with top data scientists from the most prestigious schools and research labs in France, allowing you to progress towards technical excellence;
  • Commitment from Descartes to its staff of continued learning and development (think annual seminars, training etc.);
  • Work in a collaborative & professional environment;
  • Be part of an international team that values diversity;
  • Benefit from a nice referral scheme for successfully referring peers;
  • You can benefit from a hybrid work mode thanks to our telecommuting agreement.


You may check off several but not necessarily all the expected boxes? Motivation and feeling are key elements for us!

If you want to develop your skills and work in a friendly start-up atmosphere, don't hesitate and send us your application!

At Descartes Underwriting, we are committed to fighting against all forms of discrimination and for equal opportunities. We foster an inclusive work environment that respects all differences.

With equal skills, all our positions are open to people with disabilities.


  • Step 1: Call and HR Interview with our Talent Recruiter
  • Step 2: Technical project submitted via GitHub
  • Step 3: Technical interview
  • Step 4: Manager interview
  • Step 5: Final round interview with the team
    (Candidates can opt to have the manager interview before the technical project and interview)
Questions and answers about the offer
  • Añadir a favoritos
  • Compartir en LinkedIn
  • Compartir en Facebook
  • Compartir en Twitter