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

Renault Group is committed to creating an inclusive working environment and the conditions for each of us to bring their passion, perform to the full and grow, whilst being themselves.

We find strength in our diversity and we are engaged to ensure equal employment opportunities regardless of race, colour, ancestry, religion, gender, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, etc. If you have a disability or special need requiring layout of the workstation or work schedule, please let us know by completing this form.

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