Job Title
Strong troubleshooting and anomaly detection experience using GCP Logging and Monitoring.
Proficiency in scripting languages like Python or Shell.
Experience with Infrastructure-as-Code (IaC) using Terraform.
Experience with Git, GitHub, JavaScript, and Regular Expressions (RegEx).
Knowledge of large-scale distributed systems architecture and experience with both Linux/UNIX and Windows operating systems.
Solid understanding of cloud concepts related to storage, computing, and networking.
Experience in developing and maintaining technical documentation and runbooks.
Roles & Responsibilities
Troubleshoot and detect anomalies by searching logs, utilizing strong GCP Logging and Monitoring knowledge.
Implement comprehensive monitoring and logging solutions on GCP.
Automate GCP operations using scripting languages like Python, Shell, and GCP SDKs or APIs.
Work with configuration management and Infrastructure-as-Code (IaC) tools, particularly Terraform, to manage cloud infrastructure.
Develop and maintain CI/CD pipelines using tools such as Google Cloud Build, Source Repositories, and Container Registry for automated code deployment.
Administer and manage GCP databases such as BigTable, Cloud SQL, and Cloud Spanner.
Work with containers, orchestrating them using Google Kubernetes Engine (GKE), including cluster management and deployment strategies.
Collaborate with development teams to design and implement application deployment strategies that utilize GCP services like App Engine, Cloud Functions, and Cloud Run.
Optimize GCP costs and resource usage by providing cost estimates and reports and implementing cost-saving strategies.
Maintain technical documentation, runbooks, and ensure best practices in system configuration and deployment.