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Full-time Jupyter Lab Mass DeploymentPublished at 04.02.2020 - Viewed: 395 times - Nexedi SA in Lille, France
Task : Jupyter Lab Mass Deployment
Location : Lille, France or Munich, Germany
Type : Trainee
Duration : 4-6 Months, permanent
Reference : Offer-2020-Jupyter-Lab-Mass-Deployment
Description : Nexedi is looking for a python developer interested in porting and extending Jupyter Lab for mass deployment in the context of SlapOS Edge Computing system.
- Master Edge Computing based on SlapOS
- Master Jupyter Lab source code
- Extend SlapOS with new software profiles
- Contribute to Jupyter Lab and extend it usability
- Contribute to open source projects such as Wendelin, Pandas, NumPy, scikit-learn, SlapOS, jIO and renderjs.
- Contribute to research projects to build the future of our open source stack
- Passionate, self-driven.
- Willingness to contribute to an open source ecosystem and the Free Software community.
- Very good programming skills in Python.
- Good software development skills (version control, testing, debugging).
- Good command of English.
Nexedi has been developing free software since launching in 2001. We are maintaining software solutions (see our full stack) with over 10 million lines of code including:
- ERP5 – ERP/CRM/DMS/e-business
- Slapos – Cloud Orchestration and deployment
- Wendelin – Big Data/Machine Learning
- Neo – Distributed Storage
- Resist – Resilient Mesh Network
- Renderjs – Promise based component framework
- jIO – Virtual File System and storage connector
- NayuOS – Private OS
- OfficeJs – Private, offline capable productivity AppStore
Besides participating in various research initiatives, Nexedi provides customisation services for solutions with implementations being used by corporations such as Airbus, Sanef, Mitsubishi all around the world. We follow the principles of reflexive programming, enforce strict unit testing and emphasise using the latest web technologies.
Our economic model requires each developer to fulfill R&D objectives aiming at delivering short to medium sized solutions to customer requirements and progressing the evolution of our software stack. This way we try to be innovative and fund long term free software without the need for venture capital.