Gcp Architect

4 weeks ago

Hyderabad, India Tata Consultancy Services Full time

Desired Competencies (Technical/Behavioral Competency)

  • 8-10years 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.

Responsibility of / Expectations from the Role

  1. 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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