{"id":2017364,"url":"https://alion.io/job/eternitech-devops-ia-sur-saint-quentin-en-yvelines","title":"Devops / IA sur Saint Quentin en Yvelines","company":{"id":3908418,"name":"EterniTech","domain":"eternitech.fr","url":"https://alion.io/company/eternitech","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":null,"employment_type":"freelance","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["France"],"countries":["FR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":45000,"max_usd":75000,"period":"year","method":"role_country_seniority_unknown","sample_n":305},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"ElasticSearch","optional":false},{"name":"GCP","optional":false},{"name":"Google GKE","optional":false},{"name":"LLMOps","optional":false},{"name":"OpenSearch","optional":false},{"name":"OpenShift","optional":false},{"name":"pgvector","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Scrum","optional":false},{"name":"Kubernetes","optional":true}],"status":"live","first_seen_at":"2026-09-18T10:38:05Z","employer_posted_date":null,"last_verified_at":"2026-09-18T10:38:05Z","board_verified":false,"closed_at":null,"days_open":48,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":48},"description":"Contexte :\nAu sein du pôle Data & IA, intégration de l'équipe GenAI en charge de la conception et de l'exploitation de plateformes d'Intelligence Artificielle à destination des différentes entités du groupe. L'objectif est de concevoir des offres d'IA générative industrialisées, sécurisées et hautement disponibles, déployables aussi bien sur des infrastructures Cloud (AWS, GCP) que On-Premise, en s'appuyant sur des architectures modernes, distribuées et résilientes.\nMissions :\nConcevoir et déployer des architectures techniques dédiées aux plateformes d'IA générative.\n\nIndustrialiser et automatiser le déploiement de plateformes agentiques via les pratiques MLOps et LLMOps.\n\nDévelopper et maintenir des services managés en intégrant les exigences de sécurité, de conformité et de gouvernance.\n\nAutomatiser les infrastructures et les pipelines de déploiement (Infrastructure as Code, CI/CD).\n\nAssurer la mise en production, le maintien en condition opérationnelle et l'optimisation des plateformes IA.\n\nParticiper aux choix d'architecture et assurer le rôle de référent technique sur un produit de la squad.\n\nConcevoir la documentation technique et accompagner l'adoption des solutions auprès des équipes internes.\n\nRéaliser des démonstrations techniques et promouvoir les offres d'IA générative.\n\nParticiper aux cérémonies Agile (Daily Scrum, Sprint Planning, Backlog Refinement, Roadmap) et contribuer aux travaux de la squad.\n\nParticiper aux astreintes techniques afin de garantir la disponibilité des plateformes.\n\nStack technique :\n\nCloud & Infrastructure\nAWS : EKS, SageMaker, Bedrock\nGCP : GKE, Vertex AI\nKubernetes, OpenShift, Docker\nEnvironnements On-Premise\n\nInfrastructure as Code & CI/CD\nTerraform\nAnsible\nJenkins\nGitLab CI\nKestra\n\nDéveloppement\nPython\nSQL\n\nData & IA\nMLflow\nDataiku\nJFrog Artifactory\nOrchestration de workloads IA\nBases de données vectorielles : OpenSearch, Elasticsearch, PostgreSQL (PGVector), MongoDB Atlas, Amazon RDS\n\nObservabilité\nPrometheus\nGrafana\nDynatrace\nAWS CloudWatch\nAWS X-Ray\n\nMéthodologie\nAgile / Scrum\nDevOps / MLOps / LLMOps\nInfrastructure as Code (IaC)\nCI/CD\nArchitecture Cloud Native\nSécurité, conformité et gouvernance des plateformes IA\nProfil recherché\nProfil recherché5 ans minimum d’expérience en Data et automatisation des processus IT.\n\nExpérience concrète de déploiement de workloads Data/IA.\n\nExpérience significative en Cloud + MLOps/LLMOps.\n\nSolide culture DevOps / CI-CD / conteneurisation.\n\nCapacité à intervenir de la conception jusqu'à la production/MCO.\n\nAnglais opérationnel, utilisé régulièrement.\n\nLeadership technique et bonnes capacités de communication.","description_format":"text","description_chars":2630,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Cybersecurity","Information 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