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Location
In office
Employment
Full-Time

Confirmed on the employer's own hiring board on Sep 26, 2026. First seen by Alion on Mar 25, 2026. Geci scores C on the Alion truth index.

Overview
Company
Impact
Profile match
Smart solutionsfor a smart world. GECI International est un spécialiste de la Technologie et du Digital. Depuis son origine en 1980, le Groupe innove pour concevoir et développer des solutions, produits et services intelligents pour les secteurs de la Recherche, de l'Industrie et des Services.

Prestation | CDI I Senior | Environnement international - Londres (1j/semaine sur site)

Démarrage : Mai 2026 I Durée du projet : 6-12 mois

Contexte du poste

Alliance Services Plus (AS+) recherche un(e) Ingénieur DevOps HPC & GPU pour le compte de l’un de ses clients, dans le cadre d’un projet de transformation d’une plateforme de calcul haute performance.

L’objectif est de mettre en place les fondations d’exploitation, d’automatisation et d’observabilité d’un environnement distribué intégrant des ressources GPU à grande échelle.

Missions principales

Dans un contexte DevOps et HPC, les missions incluront :

  • La mise en place et l’industrialisation des pipelines CI/CD

  • La création d’environnements de développement automatisés

  • La conception d’outils de benchmarking et de mesure de performance

  • La mise en œuvre de frameworks de validation et de tests

  • La gestion de l’observabilité (logs, métriques, tracing distribué)

  • L’automatisation de l’infrastructure et des déploiements

Environnement technique

  • Cloud : AWS (IAM, EC2, networking)

  • CI/CD & Infra as Code : Jenkins, Kubernetes (ou équivalent)

  • Langage : Rust (outillage)

  • Observabilité : logging, metrics, distributed tracing

  • Environnements GPU : instances GPU cloud

  • Performance : frameworks de benchmark

Profil recherché

  • Expérience confirmée en ingénierie DevOps / infrastructure cloud

  • Maîtrise des environnements AWS et des outils CI/CD

  • Connaissance ou pratique de Rust, ou capacité à monter en compétence

  • Expérience en automatisation et en infrastructure as code

  • Sensibilité aux problématiques de performance et de monitoring

Atouts appréciés :

  • Expérience en environnements GPU ou HPC

  • Mise en place de frameworks de benchmarking

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