Description

You will own the architecture, deployment, and maintenance of scalable data infrastructure on GCP.

Responsibilities

• Architect, deploy, and maintain scalable data infrastructure in GCP, focusing on Cloud Composer (Airflow) and GKE.
• Manage containerized workloads using Docker and Kubernetes, handling lifecycle, networking, monitoring, and troubleshooting.
• Migrate traditional workloads to containerized platforms by collaborating with data engineering teams.
• Implement and maintain CI/CD pipelines using Jenkins, Git, and Terraform.
• Ensure observability and reliability of data pipelines and containerized services using Prometheus and Grafana.

Required Skills

• 5+ years of experience with container orchestration platforms (Kubernetes, GKE, AKS, EKS).
• 5+ years of hands-on experience with Google Cloud Platform, including IAM and networking.
• 5+ years deploying and managing Docker containers in production.
• Strong understanding of Kubernetes architecture and control plane components.
• 5+ years experience with Python for automation and data workflows.
• Experience with Composer (Airflow) DAG development and orchestration.
• Proficiency in Linux-based infrastructure and scripting (Bash).
• Familiarity with container monitoring, logging, and troubleshooting tools.
• Experience with GKE, Docker, GCP, Jenkins, Git, Python, Java, Golang, and CloudSQL.

Preferred Skills

• Experience with Helm and Terraform for deployment automation.
• Exposure to SQL, NoSQL, and CloudSQL databases.

Key Skills

Education

Bachelor's degree