Site Reliability Engineer
il y a 1 jour
Description du poste Dailymotion is seeking for a dynamic and motivated DevOps Engineer with a strong interest in site reliability and software production. As part of the Platform team, with a strong experience in distributed software architectures and release management, you will contribute to building our internal Platform-as-a-Service running on Kubernetes. You will also be responsible of the maintenance and the evolution of our CD platform based on FluxCD. The ideal candidate dreams of efficient orchestration and scalable and resilient architecture. Using AGILE methodologies in collaboration with other teams you will help support Dailymotion’s business growth by defining appropriate systems and architectures that can handle our development needs and processing volumes. The successful candidate will have various responsibilities and roles : Ensure that the platform is reliable and performant through testing, automation and monitoring Participate in the on-call program to provide application support, handle incident management, and troubleshoot production issues Ensure optimal use of our Kubernetes clusters in AWS environment, from performance perspective and cost effectiveness perspective ( FinOps) Ensure a high level of platform security. Maintain and improve our CD platform and delivery workflows Share best practices with your peers Collaborate with developers to understand their specific requirements, while continuously improving the architecture and deepening your understanding of the global system. The right component for the right need. Provide guidance on MLOPS and Data architectures (Cloud GCP, Airflow, GPUs) Maintain detailed documentation of engineering processes, infrastructures, and troubleshooting procedures. Stay up-to-date with industry trends, emerging technologies, and best practices in data engineering and devops to drive innovation and continuous improvement. Qualifications 5+ years of experience in DevOps. Proficiency in containerization and orchestration (Docker, Kubernetes, Helm). Proficiency with Infrastructure as Code (Terraform). Strong Expertise with Cloud Platforms (AWS,GCP) Strong Expertise in CD pipelines (Flux) Strong Expertise in monitoring and observability capabilities, including FinOps best practices (Prometheus, Grafana,Datadog, Looker) Experience with Data lifecycle Management (Storage policies, costs optimization , security, encryption). Experience in Data pipelines for ML models (Airflow,DataFlow,Kestra) Experience in ML infrastructure optimization (GPUs,TPUs, Inferentia). Experience in CI pipelines (Tekton, Jenkins,Jx3) Strong programming skills in Python , with experience in Bash scripting; knowledge of Go or Rust is a plus. Soft Skills Strong collaboration and communication skills to work effectively with Dev Engineers and cross-functional teams. Ability to drive innovation and advocate for best DevOps practices within the company. Cultural Alignment : We seek a creative, motivated individual who values growth and is eager to contribute to our team and product Excellent English communication skills, capable of working effectively in an international team. Technical Stacks and environments AWS, GCP and on-premise datacenters (multi regions) Kubernetes self hosted, EKS, GKE Aerospike, MongoDB, Redis, Druid, Mysql, PgSql Ingress-nginx Cert-manager,Kyverno,EntraID Karpenter Datadog, Prometheus,Grafana,Costory Terraform, Atlantis,Ansible,salt-stack FluxCD Tekton, , JenkinsX Airflow, Dataflow, Flink Python. Go, Java Harbor #J-18808-Ljbffr
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