Cloud DevOps / MLOps Engineer (AWS & GCP)

🎯 Position Objective

Ensure the industrialization, automation, and reliability of data science pipelines in a hybrid AWS/GCP cloud environment.

🛠️ Main Responsibilities

🔹 DevOps

• Design and maintain CI/CD pipelines (GitLab CI, GitHub Actions, Jenkins).

• Manage infrastructure using Terraform.

• Deploy and monitor containerized applications (Docker, Kubernetes, Helm).

• Implement monitoring solutions (Prometheus, Grafana, CloudWatch, Stackdriver).

• Secure cloud environments (IAM, KMS, secret management).

🔹 MLOps

• Develop and orchestrate ML & AI pipelines (Airflow, Vertex AI Pipelines, etc.).

• Deploy models to production (Vertex AI Endpoints).

• Collaborate with data scientists to automate the model lifecycle.

🧰 Technical Environment

• Cloud: AWS (S3, SageMaker, EKS), GCP (BigQuery, Vertex AI, GKE)

• IaC: Terraform

• SaaS: Snowflake

• PaaS: Dataiku

• CI/CD: GitLab CI, GitHub Actions

• Containers: Docker, Kubernetes

• Languages: Python, Bash, YAML

• Monitoring: Prometheus, Grafana, CloudWatch, Stackdriver

• ML Tools: Airflow, Kubeflow, Vertex AI, SageMaker