Cette offre n'affiche pas de salaire. D'après 38 offres pour ce poste (Senior, Paris), le marché se situe autour de 60k€ (46k€–70k€).
Salaire du marché pour Backend (Senior) à Paris : médiane 60 000 €/an, P25–P75 : 46 000–70 000 €/an, n = 38 offres. Salaire Go (Golang) à Paris
Baromètre TJM et salaires ITAbout Mistral
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
Mistral is building a sovereign AI cloud for Europe. Our customers in finance, healthcare, and the public sector run frontier models on European-jurisdiction infrastructure, and the Cloud Platform team builds the systems that make that possible - compute orchestration, Kubernetes, bare metal, storage, networking, and the datacenter fleet that runs it all.
European Compute Units let enterprises commit to multi-year capacity on that infrastructure, and we are scaling toward a gigawatt of compute across Europe by 2030. You will design and ship the layer every sovereign AI deployment depends on.
A datacenter is not a cloud until software makes it one. You will build the software that turns arriving hardware into accepted clusters.
Cabling validation, burn-in, firmware, deployment validation, software stack install - all of it automated, none of it click-ops. Your KPI is time to acceptance: the hours between a rack being physically installed and it serving customer workloads. Across the industry that number is measured in weeks. You will drive it toward days, then hours, as we scale toward a gigawatt of compute across Europe.
This is a hands-on engineering role at the intersection of hardware and software. Most of your time in the code and the architecture, some of it on datacenter floors, because the automation has to survive contact with the machines it runs on.
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