Square Sense développe des solutions destinées aux grands investisseurs immobiliers (foncières, institutionnels, fonds d’investissement) pour les aider à faire face aux nombreux enjeux auxquels ils sont confrontés et leur permettre d’adapter leurs stratégies de gestion d’actifs plus rapidement et plus efficacement.
Pour ce faire, ces solutions interprètent des données collectées dans les immeubles à partir de plusieurs sources : gestion financière, énergie, IoT, services aux usagers, community management, etc. Elles permettent de comprendre les attentes des locataires et usagers, mesurer leur satisfaction et anticiper les situations à risque, et ainsi permettre aux gestionnaires d’actifs de prendre les bonnes décisions au bon moment. Ces solutions ont pour finalité d’améliorer la performance financière des actifs et leur impact sociétal et environnemental.
La plateforme développée par Square Sense met en oeuvre les technologies incontournables en matière de traitement de données massives. Son équipe de data scientists utilise les techniques de pointe en apprentissage automatique pour développer ses applications data-driven.
Square Sense a été fondé en 2018 à Paris par une équipe multiculturelle et talentueuse d’ingénieurs et de scientifiques.
Primary objectives of a Full-stack developer are:
Design and develop full-stack applications for data visualizations, business process management, and internal tools for building and IoT management.
Design and develop software and APIs to access building data, in collaboration with Data Engineers.
Deliver to production all software you develop, in collaboration with DevOps team.
In collaboration with fellow team members, design the architecture for all software developed in the team. Propose relevant technologies and solutions.
We are looking for a software engineer with 2+ years of professional/industry experience. Candidates for this position are expected to have:
At least 2 years full-time job experience is mandatory.
Industry experience and skills in JavaScript and its current ecosystem.
Industry experience and skills in Python for web development, SQL.
A taste for high quality software (clean code, high test coverage, thorough PR reviews).
Willingness to learn new skills and collaborate with Data Engineering, Data Science and DevOps fellow team members.
Speaking French and English in the professional setting.
Knowledge in following areas are a plus:
React
Docker, Kubernetes
Cloud Platforms (AWS / GCP / Azure)
Agile, Scrum, Kanban, or Lean
Being passionate about IT ourselves, we are looking for a likewise passionate person with a good team spirit.
An environment where engineers make important contributions, experienced team leaders, team diversity, open communication, flat hierarchy, and fast execution.
Remote and hybrid work, flexible working hours
A comfortable office on boulevard du Montparnasse with a nice view over Paris
Performance-based bonuses
A budget for personal education, participation to conferences, and training
Transporation compensation (50% of “Navigo IDF”, or 100% of intercity trains for remote employees)
Health benefits plan (“Alan assurance santé”, top plan is fully payed by the company)
Lunch vouchers (“Swile” card)
Vacations bonus (Prime de vacances)
Phone call. 30 minutes. Objective: confirm the intent and the match.
Technical interview. A lot of pair programming, coding, design, a little theory, a few non-technical questions. No whiteboard programming, no trick questions. In the office (preferred) or remote. 2 hours.
Fit interview. Meet cofounders and more team members. In the office only. 2 hours.
Optionally, we may propose a take-home exercise, remote with no deadline. It reduces the time spent during the technical interview and may take about 4 hours to complete.
The process takes at least 3 days, and at most 2 weeks.
En bref
Année de création
2018
Nombre d'employés
33
Âge moyen
32
Turnover
1
Genre
40%
60%