Posted:23 hours ago|
Platform:
Hybrid
Full Time
Job Role You'll be responsible for Hands on experience on Data warehousing tools and methodologies. Design and manage scalable infrastructure on Google Cloud Platform (GCP) to support various application and data workloads. Implement and manage IAM policies, roles, and permissions to ensure secure access across GCP services. Build and optimize workflows using Cloud Composer (Airflow) and manage data processing pipelines via Dataproc. Provision and maintain Compute Engine VMs and integrate them into broader system architectures. Set up and query data in BigQuery, and manage data flows securely and efficiently. Develop and maintain CI/CD pipelines using Argo CD, Jenkins, or GitOps methodologies. Administer Kubernetes clusters (GKE) including node scaling, workload deployments, and Helm chart management. Create and maintain YAML files for defining infrastructure as a code. Monitor system health and performance using tools like Prometheus, Grafana, and GCPs native monitoring stack. Troubleshoot infrastructure issues, perform root cause analysis, and implement preventative measures. Collaborate with development teams to integrate infrastructure best practices and support application delivery. Document infrastructure standards, deployment processes, and operational procedures. Participate in Agile ceremonies, contributing to sprint planning, daily stand-ups, and retrospectives
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