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Synthesio, part of Ipsos, is seeking a back-end engineer to join the squad building and maintaining data processing pipelines for 80M documents daily.
You will design solutions with product owners and fellow developers and contribute to microservices, Go, Python, and SQL workloads. This role is based in Paris and offers a hands-on, scalable backend environment with modern tooling and continuous deployment.
At Synthesio, we transform 80 million daily social posts into actionable insights for global brands like Michelin, Renault, Sanofi, and many others, thanks to our real-time AI stack.
We, Ipsos Synthesio, are a leading marketing SaaS company. Our technology allows global brands to make business decisions based on online consumer feedback. We centralize public data from many providers, such as posts on social networks, press articles, forums, search data and more. After the collection phase, we enrich it through AI models and provide 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 projects, and chooses their deliverables and their timelines.
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 more than 80M 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.
As a member of the back-end team, you will:
Our back-end stack: Go, Python, JS, React, MySQL, Elasticsearch, Cassandra, Kafka, Gitlab, Docker, Ansible.
Our platform uses a microservice architecture containing 200+ 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, 750 TB+ MySQL clusters, 150 TB+ Scylla DB, and 250 TB+ of Kafka.