Python jobs at GDF Suez

GDF Suez - PlantRisk
2008 – Today
- lead Python developer from 2008 to 2011
- ported old VBA code to Python
- 50x performance increase due to heavy optimisation
- ensuring occasional maintenance since 2011
- very successful internal project, used worldwide within the GDF Suez group

GDF Suez - Pyrene
avril 2011 – avril 2012
- web based interface around an optimisation core
- built flexible Excel import/export module using openpyxl
- worked on every area of the application, including web design, useability, asynchronous report generation, ...

GDF Suez University - Serious Game
avril 2013 – Today
- built a fully configurable trading simulation framework for training new employees
- handles domain specific language (DSL) to generate dynamic forms and processes
- can be adapted to any kind of simulation and business domain
- natively handles time-based data, and dynamically loading from Excel files
- allows custom functions to be defined in pure Python and used within the game
- built an IDE with syntax highlighting
- transparent data files symmetric encryption to prevent cheating

GDF Suez - Pegase
janvier 2012
- web based interface around an optimisation core
- built fully configurable declarative reporting system in Python
- built parallel reports generation workflows
- reverse-engineered proprietary library to allow interacting with binary files in a more elegant way than the provided API
- troubleshooting SSL certificates issues

GDF Suez - Infrastructure automation
juin 2014
* automate deployment of a full stack web application over 7 different physical servers
* uses Docker for concurrently running different versions of the application
* Ansible scripts take care of:
- initial application setup
- no-downtime rolling upgrades (including Docker image builds)
- disaster recovery
- load balancer configuration (including configuring the reverse-proxy when a new container is spawned/removed)
- setting up monitoring alerts
- setting up Condor for distributed computing
- setting up Jenkins for QA and staging image builds