كبير مهندسي عمليات البيانات (Data Ops)
تفاصيل الوظيفة
Your mission will be to contribute to, facilitate, and accelerate the development and deployment of Data Science, Data Analysis, Data Visualization, and AI projects. Your role will be cross-functional, intervening across the entire lifecycle of solutions: from data exploration to production deployment and their evolutionary maintenance. On a daily basis, you will be responsible for:
Designing and improving CI/CD processes
Deploying and industrializing applications in GCP Cloud
Automating infrastructure with Infrastructure as Code
Containerizing and orchestrating services with Kubernetes / GKE
Administering and maintaining shared Data services, notably Airflow and Langfuse
Supporting Data teams in their deployments and configurations
Participating in access management, incident resolution, and Cloud cost optimization
Ensuring the application of security and governance best practices
Identifying opportunities for automation and continuous improvement
Technical Environment
Must Have:
GCP / Cloud
Kubernetes
Infrastructure as Code (ideally Terraform)
CI/CD & DevOps practices
Containerization
Good understanding of network and infrastructure issues
If you also master:
GKE, Cloud Storage, Cloud SQL, Cloud Monitoring
Apache Kafka
Airflow
Bash / Python
This would be a real plus!
Desired Candidate Profile
You are a Senior DataOps Engineer, autonomous and comfortable in complex technical environments. You are recognized for your ability to:
- Solve complex technical problems
- Work autonomously and manage your priorities
- Collaborate effectively with diverse technical teams
- Communicate clearly in writing and orally
- Adopt a true DevOps & Agile culture
- Contribute to a continuous improvement approach
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