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Cette mission s’inscrit dans le cadre de la mise en place d’une nouvelle architecture cloud pour améliorer l’efficacité des workflows de simulation et la gestion des données scientifiques.\nMissions principales\nAdapter et développer les outils Python d’automatisation des workflows de simulation à la nouvelle architecture cloud\n\nDéfinir la stratégie de gestion des données générées par les systèmes HPC, en garantissant performance et stockage pérenne\n\nDévelopper et maintenir une base de données pour les résultats de simulation\n\nModifier les scripts de soumission des jobs de simulation pour passer de PBS à Slurm\n\nCollaborer avec l’équipe en place pour intégrer les outils aux systèmes existants\n\nParticiper à la documentation technique et aux bonnes pratiques de développement\n\nAssurer la maintenance corrective et évolutive des outils développés\n\nEnvironnement technique\nLangage principal : Python (automatisation, web services)\n\nBase de données : SQL (gestion des résultats 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