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Cloud Infra Architect / Sme

Cloud Infra Architect / Sme

Tata Consultancy ServicesIndia
6 days ago
Job description

Experience : 8-10 Years

Location : Hyderabad

Google Cloud infra Architect :

8-10 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. 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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