Shift Technology

Shift Technology

  • Artificial Intelligence / Machine Learning, Big Data, FinTech / InsurTech, Insurance, SaaS / Cloud Services
  • Paris, Boston, Hong Kong, Madrid, Sao Paulo, Singapore, Tokyo, Toronto, United Kingdom, Zurich
  • View website

Tech team

Our state-of-the-art Engineering Team is all about cooperation: More than 80 brilliant Engineers (Fullstack, Backend, Frontend, QA) working in a dozen cross-functional squads -along with DevOps, Data Scientists, Product Owners, etc…- from all across the world (you’d better speak English then!). Agile environment, DevOps culture, Data-driven company, SAAS solutions : what else do you need? Aside from the opportunity to solve challenging and interesting problems around making insurance decisions better, Shift offers everyone a space of freedom and a unique collaboration between diverse engineers from all over the Globe.

Shift Technology
Shift Technology

Employee breakdown

  • Research & Product

    8%

  • Delivery & Project Management

    10%

  • Data Science

    57%

  • Engineering & IT

    25%

Technologies and tools

Backend

  • Python
    Python
    100%
  • Microsoft SQL Server
    Microsoft SQL Server
    100%
  • Kafka
    Kafka
    100%
  • Elasticsearch
    Elasticsearch
    100%
  • C#
    C#
    100%
  • .NET
    .NET
    100%

Frontend

  • Webpack
    Webpack
    100%
  • TypeScript
    TypeScript
    100%
  • Redux.js
    Redux.js
    100%
  • React JS
    React JS
    100%
  • JavaScript
    JavaScript
    100%

Devops

  • Terraform
    Terraform
    100%
  • PowerShell
    PowerShell
    100%
  • Kubernetes
    Kubernetes
    100%
  • Git
    Git
    100%
  • Docker
    Docker
    100%
  • Azure
    Azure
    100%
  • Ansible
    Ansible
    100%

Continuous Integration

  • TeamCity
    TeamCity
    100%
  • Octopus Deploy
    Octopus Deploy
    100%
  • Cypress
    Cypress
    100%

IDE

  • Visual Studio Code
    Visual Studio Code
    100%
  • Visual Studio
    Visual Studio
    100%

Projects and tech challenges

  • Real-time fraud detection at policy subscription with 300+ requests per second
  • Big data APIs for scale with low data locality
  • Advanced fraudster social graph detection, exploration and user interaction
  • Documents and image analysis for automated decision making on claims and policies

Recruitment process

Our interview process is designed to learn more about your technical abilities and aptitude, and alignment to our values and working style. The process includes the following, although the order may be different by role:

  1. Recruiter Interviewer

  2. Technical Challenge

  3. Technical/Situational Video Interviews with Team Members

  4. Hiring Manager Interview