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Salary
≈ $51k – $86k per year (Estimated)
Location
Hybrid (Paris, France)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 16, 2026. First seen by Alion on Feb 19, 2025. SFEIR scores D on the Alion truth index.

Overview
Company
Impact
Profile match
SFEIR is a French technology consultancy and AI engineering company based in Neuilly-sur-Seine near Paris that designs, builds and runs custom software, cloud, data and generative AI systems for large organisations. It employs about 950 consultants across eight offices in France, Luxembourg and Belgium, holds long-standing partnerships with Google Cloud, AWS, Microsoft, Databricks and Confluent, is an Anthropic Select partner and trains more than 5,000 people a year through SFEIR Institute. It hires Java, Python, JavaScript and .NET developers, data and cloud engineers, GCP architects, DevOps and MLOps engineers, often in Nantes and Brussels.

Chez SFEIR, l’IA est notre accélérateur dans tous nos métiers - du Cloud AI-Ready aux plateformes Data modernes, en passant par le développement augmenté.

SFEIR en 30 secondes

  • 950 consultants passionnés par la tech et augmentés par l'IA

  • 8 agences en France, au Luxembourg et à Bruxelles

  • Partenaire Anthropic Preferred (+ 170 certifiés)

  • 15 ans de partenariat Google Cloud + AWS, Scaleway, S3NS, Databricks, Snowflake, Confluent, DBT

  • +90 clients actifs et +5 000 personnes formées par an via SFEIR Institute

  • +150 certifiés Google Cloud, 30 Google Authorized Trainers, 7 Google Developer Experts

Ta mission

  • Concevoir et déployer des infrastructures cloud-native sur GCP qui tiennent la charge réelle

  • Tout automatiser avec Terraform et Cloud Build - si tu le fais deux fois à la main, c'est un bug

  • Mettre en place des architectures Kubernetes avec GKE, et gérer des environnements hybrides et multi-cloud (GKE Enterprise)

  • Assurer la sécurité et la conformité des infrastructures que tu opères

  • Optimiser coûts et performances des ressources cloud (FinOps)

  • Installer les pratiques DevOps et SRE : CI/CD, observabilité, SLO, postmortems sans blâme

Ton terrain de jeu

  • Stack : Kubernetes (GKE), Compute Engine, Cloud Run, Cloud IAM, Terraform, Cloud Build, GKE Enterprise

  • SFEIR AI : un parcours dédié pour maîtriser l'IA générative et le coding agentique - l'IaC générée et revue par IA, ça change ton quotidien

Ce qu'on cherche chez toi

  • 3 ans minimum d'expérience en Cloud Engineering

  • Une expérience professionnelle confirmée sur Google Cloud

  • Tu es à l'aise avec l'Infrastructure as Code et tu penses automatisation par réflexe

  • Tu es passionné(e) : tu fais de la veille, tu as des projets perso, tu casses des choses chez toi pour comprendre comment elles marchent

Ton évolution

  • Un Engineering Manager dédié qui t'accompagne

  • Une trajectoire claire : Lead Cloud Engineer → Cloud Architect

  • Formation continue avec accès à Google Cloud Skills Boost et aux certifications

  • Google Cloud Next, KubeCon, Cloud Native Days : tu y vas, et parfois tu y parles

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