ERS - Ecosystem Restoration Standard
Tech team
The R&D team is composed of a Data team devoted to creating models, a Dev team that creates system applications, and a Product team that define our product vision and improve our system applications.
They leverage satellite imagery and on-field data to make prediction models, that aim to automate the certification process. They are experts in remote sensing, data engineering, and machine learning.
The Product and Dev teams deal with the development of everything else: from websites to mobile apps, they are experts in web technologies and are up to date with modern development frameworks.
2
Weeks per sprint
Employee breakdown
Data
40%
Development
40%
Product
20%
Technologies and tools
Python
100%Node.js
100%Adonis JS
100%React JS
100%Next.js
100%GitHub
100%Docker
100%
Backend
Frontend
Devops
The R&D team uses Amazon Web Services and Copernicus.
Organization and methodologies
The Tech team meets three times per week with every member. They determine the goals of their sprints that last two weeks. During the beginning of their meetings, they share both their signs of progress and the potential challenges they are facing to collectively and collaboratively find solutions and set new strategies.
Each member meets with their manager once a week or bi-monthly to review their missions, and tasks and provide feedback. Every quarter, a review takes place to look at progress made against goals, assess performance, and leverage lessons learned.
Recruitment process
The recruitment process starts with a screening call with our Talent Acquisition Team, followed by an interview with the Hiring Manager upon review of profiles.
Then selected candidates complete a technical test. A debrief is then organised with the hiring manager.
Final candidates then go through an interview circuit to deep diver into the heart of our organisation and meet with our Founders.
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