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Senior DevOps Engineer

Il y a 4 mois

PARIS, Ile-de-France Dailymotion Temps plein
Dailymotion is the leading video discovery destination & technology that learns about your tastes over time, constantly surfacing the best, most relevant content on the web. Our mission is to provide the best video user experience for consumers on the market, connecting publishers and advertisers to engaged viewers who turn to Dailymotion for their daily fix of the most compelling music, entertainment, news, and sports content around.

Through partnerships with the world's leading publishers and content creators, France Télévisions, Le Parisien, CBS, Bein Sports, CNN, GQ, Universal Music Group, VICE and more, Dailymotion commands 3 billion monthly pageviews across its mobile app, desktop and connected TV experiences. Dailymotion is owned by Vivendi, one of the largest mass-media corporations in the world.

At Dailymotion, were storytellers. We build the best place for people to enjoy the videos that matter. We do this through utilizing and developing cutting-edge technology and pushing the envelope to bring discoverable stories to life through premium content from the world's best publishers. We do this by helping these publishers grow their audiences and monetize their content, their way.

Dailymotion is proud to BE an equal employment opportunity and affirmative action employer. We value inclusion and we want you to help us thrive for a more diverse community.

Dailymotion recherche un ingénieur DEVOPS compétent, dynamique et ouvert d'esprit avec une expérience dans les architectures logicielles distribuées et les environnements de données pour rejoindre son équipe Plateforme.

Vous travaillerez avec des personnes intelligentes sur des projets stimulants et innovants et aiderez à construire notre plateforme en tant que service fonctionnant sur Kubernetes sur des fournisseurs de cloud hybrides sur site et multi-fournisseurs.

En utilisant les méthodologies Agile, vous serez responsable de combler le fossé entre les équipes de développement et d'exploitation, en vous concentrant sur la gestion, le déploiement et l'optimisation des logiciels et des architectures liés aux données.

Ce rôle nécessite une forte compréhension des principes d'ingénierie des données, des pratiques DEVOPS et des technologies cloud natives.

Le candidat retenu aura des responsabilités et des rôles variés :
- Gérer et optimiser les clusters Kubernetes (on premise, GCP, AWS), mettre en oeuvre et maintenir l'infrastructure-as-code, assurer un haut niveau de sécurité de la plateforme.
- Exploiter et améliorer les pipelines CD pour les processus d'ingénierie des données afin d'assurer un déploiement transparent et automatisé des solutions de données.
- Identifier et résoudre de manière proactive les problèmes liés aux pipelines de données et aux infrastructures, répondre aux incidents et résoudre les goulots d'étranglement en matière de performance.
- Travailler en étroite collaboration avec les ingénieurs et les scientifiques des données pour comprendre les exigences spécifiques et s'assurer que les solutions de données répondent aux besoins de l'entreprise.
- Se tenir au courant des tendances de l'industrie, des technologies émergentes et des meilleures pratiques en matière d'ingénierie des données et de développement afin de favoriser l'innovation et l'amélioration continue.
- Maintenir une documentation détaillée des processus d'ingénierie des données, des infrastructures et du dépannage.

- 3 ans d'expérience ou plus dans une fonction similaire
- Capacité à travailler en équipe
- Solide connaissance de Kubernetes et de son écosystème
- Expérience avec les microservices et les plateformes distribuées / évolutives.
- Connaissance de la CI/CD native (Tekton/Argo/FluxCD/JenkinsX)
- Expérience pratique dans l'analyse et l'amélioration de l'efficacité, de l'évolutivité et de la stabilité des processus de collecte, de stockage et d'extraction des données.

Technical Stacks and environments
- AWS, GCP and on-premise data centers (multi regions)
- Kubernetes self-hosted, EKS, GKE
- Aerospike, MongoDB, Redis, Druid, MySQL, PgSql
- Datadog, Prometheus
- Terraform, Ansible, salt-stack