279 Cloud Sql Jobs - Page 12

Required Skills: GCP Proficiency Strong expertise in Google Cloud Platform (GCP) services and tools. Strong expertise in Google Cloud Platform (GCP) services and tools, including Compute Engine, Google Kubernetes Engine (GKE), Cloud Storage, Cloud SQL, Cloud Load Balancing, IAM, Google Workflows, Google Cloud Pub/Sub, App Engine, Cloud Functions, Cloud Run, API Gateway, Cloud Build, Cloud Source Repositories, Artifact Registry, Google Cloud Monitoring, Logging, and Error Reporting. Cloud-Native Applications Experience in designing and implementing cloud-native applications, preferably on GCP. Workload Migration Proven expertise in migrating workloads to GCP. CI/CD Tools and Practices Experience with CI/CD tools and practices. Python and IaC Proficiency in Python and Infrastructure as Code (IaC) tools such as Terraform. Responsibilities: Cloud Architecture and Design Design and implement scalable, secure, and highly available cloud infrastructure solutions using Google Cloud Platform (GCP) services and tools such as Compute Engine, Kubernetes Engine, Cloud Storage, Cloud SQL, and Cloud Load Balancing. Cloud-Native Applications Design Development of high-level architecture design and guidelines for develop, deployment and life-cycle management of cloud-native applications on CGP, ensuring they are optimized for security, performance and scalability using services like App Engine, Cloud Functions, and Cloud Run. API ManagementDevelop and implement guidelines for securely exposing interfaces exposed by the workloads running on GCP along with granular access control using IAM platform, RBAC platforms and API Gateway. Workload Migration Lead the design and migration of on-premises workloads to GCP, ensuring minimal downtime and data integrity.

Primary Skills Google Cloud Platform (GCP) Expertise in Compute (VMs, GKE, Cloud Run), Networking (VPC, Load Balancers, Firewall Rules), IAM (Service Accounts, Workload Identity, Policies), Storage (Cloud Storage, Cloud SQL, BigQuery), and Serverless (Cloud Functions, Eventarc, Pub/Sub). Strong experience in Cloud Build for CI/CD, automating deployments and managing artifacts efficiently. Terraform Skilled in Infrastructure as Code (IaC) with Terraform for provisioning and managing GCP resources. Proficient in Modules for reusable infrastructure, State Management (Remote State, Locking), and Provider Configuration . Experience in CI/CD Integration with Terraform Cloud and automation pipelines. YAML Proficient in writing Kubernetes manifests for deployments, services, and configurations. Experience in Cloud Build Pipelines , automating builds and deployments. Strong understanding of Configuration Management using YAML in GitOps workflows. PowerShell Expert in scripting for automation, managing GCP resources, and interacting with APIs. Skilled in Cloud Resource Management , automating deployments, and optimizing cloud operations. Secondary Skills CI/CD Pipelines GitHub Actions, GitLab CI/CD, Jenkins, Cloud Build Kubernetes (K8s) Helm, Ingress, RBAC, Cluster Administration Monitoring & Logging Stackdriver (Cloud Logging & Monitoring), Prometheus, Grafana Security & IAM GCP IAM Policies, Service Accounts, Workload Identity Networking VPC, Firewall Rules, Load Balancers, Cloud DNS Linux & Shell Scripting Bash scripting, system administration Version Control Git, GitHub, GitLab, Bitbucket

Primary Skills Google Cloud Platform (GCP) Expertise in Compute (VMs, GKE, Cloud Run), Networking (VPC, Load Balancers, Firewall Rules), IAM (Service Accounts, Workload Identity, Policies), Storage (Cloud Storage, Cloud SQL, BigQuery), and Serverless (Cloud Functions, Eventarc, Pub/Sub). Strong experience in Cloud Build for CI/CD, automating deployments and managing artifacts efficiently. Terraform Skilled in Infrastructure as Code (IaC) with Terraform for provisioning and managing GCP resources. Proficient in Modules for reusable infrastructure, State Management (Remote State, Locking), and Provider Configuration . Experience in CI/CD Integration with Terraform Cloud and automation pipelines. YAML Proficient in writing Kubernetes manifests for deployments, services, and configurations. Experience in Cloud Build Pipelines , automating builds and deployments. Strong understanding of Configuration Management using YAML in GitOps workflows. PowerShell Expert in scripting for automation, managing GCP resources, and interacting with APIs. Skilled in Cloud Resource Management , automating deployments, and optimizing cloud operations. Secondary Skills CI/CD Pipelines GitHub Actions, GitLab CI/CD, Jenkins, Cloud Build Kubernetes (K8s) Helm, Ingress, RBAC, Cluster Administration Monitoring & Logging Stackdriver (Cloud Logging & Monitoring), Prometheus, Grafana Security & IAM GCP IAM Policies, Service Accounts, Workload Identity Networking VPC, Firewall Rules, Load Balancers, Cloud DNS Linux & Shell Scripting Bash scripting, system administration Version Control Git, GitHub, GitLab, Bitbucket

Required Skills: GCP Proficiency Strong expertise in Google Cloud Platform (GCP) services and tools. Strong expertise in Google Cloud Platform (GCP) services and tools, including Compute Engine, Google Kubernetes Engine (GKE), Cloud Storage, Cloud SQL, Cloud Load Balancing, IAM, Google Workflows, Google Cloud Pub/Sub, App Engine, Cloud Functions, Cloud Run, API Gateway, Cloud Build, Cloud Source Repositories, Artifact Registry, Google Cloud Monitoring, Logging, and Error Reporting. Cloud-Native Applications Experience in designing and implementing cloud-native applications, preferably on GCP. Workload Migration Proven expertise in migrating workloads to GCP. CI/CD Tools and Practices Experience with CI/CD tools and practices. Python and IaC Proficiency in Python and Infrastructure as Code (IaC) tools such as Terraform. Responsibilities: Cloud Architecture and Design Design and implement scalable, secure, and highly available cloud infrastructure solutions using Google Cloud Platform (GCP) services and tools such as Compute Engine, Kubernetes Engine, Cloud Storage, Cloud SQL, and Cloud Load Balancing. Cloud-Native Applications Design Development of high-level architecture design and guidelines for develop, deployment and life-cycle management of cloud-native applications on CGP, ensuring they are optimized for security, performance and scalability using services like App Engine, Cloud Functions, and Cloud Run. API ManagementDevelop and implement guidelines for securely exposing interfaces exposed by the workloads running on GCP along with granular access control using IAM platform, RBAC platforms and API Gateway. Workload Migration Lead the design and migration of on-premises workloads to GCP, ensuring minimal downtime and data integrity.