Ipsos Synthesio is a leading marketing SAAS company. Our technology allows global brands to make business decisions based on online consumer feedback. Synthesio centralizes public data from many providers, such as posts on social networks, press articles, forums, search data and more. After the collection phase, Synthesio enriches it through AI models and provides intelligence in many visualizations and APIs. 

You want to join a deep tech and growing company with at-scale generative artificial intelligence applications, we are hiring candidates! 

Lastly, at Synthesio, we have a strong tech culture. This means the teams have an important role. Each squad is empowered, owns together the success of the sprint, and chooses their deliverables and their timelines.  

 

Our department  

The Synthesio product engineering department is focused on data provisioning, enrichment, and exploitation.  

Synthesio crawls numerous public consumer data footprints including social, reviews and ratings, survey, search, and press data, representing an average of 70M new documents per day. Each document is then analyzed and enriched using custom NLP and image recognition models developed by our data scientists. All this data is stored in databases and can be accessed by our customers via our dashboarding solution or our APIs.  

Our stack: Go, Python, JS, React, MySQL, Elasticsearch, Cassandra (Scylla DB), Kafka, Gitlab, Docker, Ansible.  

 

Our platform 

Our platform uses a microservice architecture containing 180+ microservices, most of them written in Go and using Kafka or HTTP to communicate. 

The hardware infrastructure is composed of hundreds of rented bare metal servers running Debian. A big part of it is dedicated to storage, including: 

1 PB+ Elasticsearch, 750TB+ MySQL clusters, 150 TB+ Scylla DB, and 250TB+ of Kafka. 

Frontend side, we have two main frontend applications (built with React) and an in-house Design System. 

 

Mission 

As a member of the back-end team, you will: 

Be a full-time member of a squad  Design solutions for squad projects, in collaboration with the product owner and the other back- and front-end developers of the squad  Take part in developing these projects  Define milestones for the implementation and deployment of squad projects 

As an architect, you will: 

Work with the other architects and managers to define the technical roadmap and large-scale architecture evolutions  Work with the product team to prepare estimates, build and arbitrate on the future product roadmap  Help other squads on the design of complex projects  Advocate best practices and core values to back-end developers  Evolve and maintain the tools and libraries of the back-end team  Mentor junior developers 

 

Technical skills 

A previous complex microservice architecture environment is advised  Knowledge of the Golang programming language is a plus but not required  Interest in system performance and robustness  Previous experience with very large amounts of data, message queues and high-throughput processing 

 

Soft Skills 

Rigor and strong appetite for software quality  Interested in manipulating dozens of microservices in data processing pipelines handling billions of documents  Curiosity and passion to discuss the consequences of a design choice  Good communicator, self-starter, and collaborative enthusiast  Interested in understanding user needs  Independent, self-organizing, and able to prioritize multiple complex assignments  Represent the organization and advocate its technological efforts and capabilities using external presentations and publications  Interested in multicultural companies  Fluent in English and French. This includes writing, speaking, and reading 

 

Our Values 

Win As One Team: We are nothing without each other. We support each other, celebrate team spirit, and always move together. Be open minded, humble and a team player  Ownership: Each team defines its own schedule of deliveries and methodology (from scrum to Kanban) and owns their projects from design to production.  Test And Learn: We are not afraid to fail but we are afraid of not trying. We learn from our mistakes and always come back stronger  Listen Up: The more we listen, the more we learn. Every person has something to teach up.