{"id":2016534,"url":"https://alion.io/job/ridcha-data-ingenieur-production-sre","title":"INGÉNIEUR PRODUCTION & SRE","company":{"id":3908429,"name":"Ridcha Data","domain":"ridchadata.com","url":"https://alion.io/company/ridcha-data","size_band":"51-200","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":["Sophia Antipolis, 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client, acteur majeur des services numériques de confiance, recherche un Ingénieur Production & SRE pour renforcer son équipe d’ingénierie.\nVous évoluerez sur des plateformes numériques critiques, avec un objectif clair : améliorer la fiabilité, l’observabilité et la performance de la production tout en réduisant progressivement le RUN et les escalades vers le N3.\n🎯 Votre mission\nVous serez au cœur des sujets Production, SRE et Observabilité, avec une forte dimension d’analyse et d’amélioration continue.\nVos principales responsabilités :\n🔹 Administrer et maintenir la stack Elastic : Elasticsearch, Kibana, Logstash, Filebeat\n🔹 Mettre en place et faire évoluer les dashboards, alertes et indicateurs de supervision\n🔹 Développer l’observabilité applicative avec APM / OpenTelemetry\n🔹 Définir et suivre les SLO / SLI\n🔹 Analyser les logs, corréler les signaux et identifier les causes racines des incidents\n🔹 Détecter les patterns récurrents, signaux faibles, problèmes de capacité et dérives de performance\n🔹 Réaliser les post-mortems et piloter les plans d’actions associés\n🔹 Construire des runbooks et accompagner les équipes Support N1/N2\n🔹 Faire monter les équipes de développement en autonomie sur le diagnostic et l'analyse de production\n🔹 Automatiser les tâches récurrentes avec Python\n🔹 Réaliser des tests de performance avec JMeter\n🔹 Contribuer à la roadmap technique et aux démarches d’amélioration de la fiabilité\n🔹 Participer aux instances Agile / SAFe / PI Planning\n👉 L'objectif n'est pas d'ajouter du RUN, mais bien de reprendre l'existant, le fiabiliser, l'industrialiser et progressivement le réduire.\n🛠️ Environnement technique :\nObservabilité / Logs :\nElastic Stack, Elasticsearch, Kibana, Logstash, Filebeat, APM, OpenTelemetry\nDéveloppement & automatisation :\nJava, Python\nInfrastructure :\nKubernetes, environnements de production critiques\nBases de données :\nPostgreSQL, Cassandra\nDevOps / CI-CD :\nJenkins, SonarQube, Nexus\nPerformance :\nJMeter\nMéthodologie :\nAgile / SAFe / PI Planning\nProfil recherché\nVous êtes diplômé(e) d'une formation Bac+5 en informatique et disposez d'une expérience significative en Production, SRE, Observabilité ou DevOps.\nVous êtes particulièrement à l'aise pour :\n✔️ Partir d'un log ou d'un symptôme et remonter jusqu'à la cause racine\n✔️ Lire du code Java afin de comprendre l'origine d'un problème\n✔️ Analyser des incidents complexes dans des environnements critiques\n✔️ Identifier les problèmes avant qu'ils ne deviennent des incidents\n✔️ Mettre en place des solutions durables plutôt que des contournements\n✔️ Transmettre vos connaissances et rendre les équipes autonomes\n✔️ Travailler avec des indicateurs : MTTR, SLA, taux d'escalade, couverture d'alerting, 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