Software Engineer Scientific Engine (Python) - CDI

Testing and refactoring code already used in existing project;

Introducing object oriented patterns in functional code;

Harmonizing data structures to streamline computation pipelines;

Time profiling and optimizing python code;

Implementing and testing scientific models.

Develop, optimize and update software for:

Calculation of risk models;

Data collection, preparation and visualization;

Export of outputs adapted to users;

Testing and validation of existing solutions;

Monitoring of contracts and associated data.

Support, test and correct the tools of:

Continuous integration and continuous development (CI/CD);

Data storage;

Version management of scrips, codes, languages and computer systems;

Modularization and containerization of IT solutions;

Connection to external and internal API’s.

To participate in:

The assessment and definition of user needs;

Modeling the risks of underlying contracts;

The choice of technical solutions;

Discussions with IT partners;

Improving the skills of technical staff;

Managing the access and rights of users of internal tools.

Cloud provider: GCP

Code versioning tool: Git + Gitlab

OS: Windows

Code base: Python

Solid knowledge in one of the following languages python, C/C++ or java;

Good knowledge in python;

Solid scientific background:
- Master in computer science, mathematics, physics, climate science;
- Contact with scientific domain (e.g. robotic, physics engine in video game, data science).

Production with Docker;

Experience in TDD;

Good knowledge in English and fluency in French;

Familiar with production development workflow (code reviews, fast forward git policy).

Contribute to a rigorous data engineering culture;

Ability to understand break epic track in achievable issues;

Excellent communication skills, in both formal and informal settings, and in English and French;

Mentoring junior engineers.

Experience working with public API with python;

Experience optimizing and profiling python code;

Experience in a microservices architecture;

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 👔)

You enjoy CI/CD automation (or at least appreciate the elegance of a well-crafted pipeline)

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 teams from the most prestigious schools and research labs in the world, 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 a dynamic international team, passionate about diversity;

Join a company with a true purpose – help us help our clients be more resilient towards climate risks;

A competitive salary, bonus and benefits;

You can benefit from a punctual home office days

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)