Ingénieur IA Cloud & MLOps

Company
Job Description
Missions principales

• Architecture de Production : Déployer les solutions sur Google Cloud Platform (GCP) en utilisant les services adaptés (Cloud Run, GKE - Google Kubernetes Engine).
• Conteneurisation : Gérer l'empaquetage des applications via Docker et assurer la fluidité du passage du "Dev" vers le "Push" en production.
• Sécurité & Réseau : Configurer les environnements Backend (Certs, Proxy, Réseaux VPC) et gérer les accès via IAP (Identity-Aware Proxy) et IAM.
• FinOps & Monitoring : Suivre la consommation des ressources (Billing) et mettre en place le monitoring pour garantir la disponibilité des services IA.

Compétences techniques (Hard Skills)

• Cloud : Expertise avancée sur Google Cloud Platform (GCP).
• DevOps : Docker, Kubernetes (Kube), CI/CD.
• Infrastructure : Gestion des réseaux VPC, certificats SSL, et politiques de sécurité IAM.
• Monitoring : Stack de logging et de suivi des coûts Cloud.

Soft Skills

• Pragmatisme et obsession pour la stabilité des systèmes.
• Capacité à communiquer avec les développeurs pour fluidifier le déploiement.

Job Family
Information Technologies & Systems
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