Google Cloud Platform Architect
2 weeks ago
Role & responsibilities
Desired Competencies (Technical/Behavioral Competency):
- 5 -10 years of experience in Solution Architecting with Infra Background
- 3 + Years of experience in GCP Cloud Infra Solutioning and architecture.
- Strong understanding of GCP services, architecture, and best practices.
- Know how to design secure solutions that meet compliance standards on GCP.
- Should have knowledge on Google Kubernetes Cluster setup and monitoring.
- Hands-on experience with management tools such as Cloud Console, Cloud SDK, Cloud Shell
- Must have a Hands-on experience in DevOps CI/CD with Terraform tool to build/change all kind of GCP Services.
- Well versed with Google Cloud Securities and firewall aspect.
- Proficiency in programming languages such as Python Shell.
- Knowledge of DevOps practices and tools such as Git, Jenkins, Docker, and Kubernetes.
- Familiarity with networking, security, IAM and compliance principles in GCP cloud environments.
- Strong problem-solving and troubleshooting skills.
- Excellent communication and collaboration skills.
Preferred candidate profile
. Infrastructure Management:
• Maintain all cloud services such as Compute Engine, Storage, Networking, IAM, and Kubernetes Engine.
• Configure and optimize cloud resources for performance, availability, and cost-efficiency.
2. Deployment and Automation:
• Implement and manage Infrastructure as Code (IaC) using tools like Terraform, or Ansible to provision and configure cloud resources securely.
• Implement automation scripts and workflows for provisioning, configuration, and maintenance of GCP resources.
3. Security and Compliance:
• Implement security best practices and compliance standards for cloud environments.
• Configure and manage identity and access management (IAM) policies, network security, encryption, and logging.
4. Monitoring and Troubleshooting:
• Set up monitoring and alerting for cloud resources.
• Monitor resource usage, performance metrics, and system health, and troubleshoot issues as needed.
5. Containerization and Orchestration:
• Manage containerized applications using Google Kubernetes Engine (GKE) or other container orchestration platforms on cloud
• Deploy, scale, and manage Docker containers and microservices architectures.
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