Job Description :

Description:

•  Cloud Platforms: AWS (EC2, S3, Lambda, RDS, etc.), GCP (Compute Engine, BigQuery, etc.), Azure (VM, Blob Storage, etc.).

•  Linux Administration: Shell scripting, kernel tuning, package management, and troubleshooting.

•  Automation Tools: Terraform, Ansible, CloudFormation, Puppet, or Chef.

•  Monitoring & Logging: CloudWatch, Azure Monitor, ELK Stack, or Splunk.

•  Networking: VPC, VPN, Direct Connect, Load Balancers, and DNS management.

•  Security: IAM, KMS, encryption, firewalls, and vulnerability management.

1.  Cloud Architecture Design:

o  Design and implement scalable, secure, and highly available cloud solutions using AWS as the primary platform, with additional expertise in GCP and Azure.

o  Develop architecture blueprints, best practices, and standards for cloud adoption.

o  Collaborate with cross-functional teams to ensure cloud solutions align with business goals.

2.  AWS Control Tower & IAM (IDC):

o  Implement and manage AWS Control Tower to set up and govern multi-account AWS environments.

o  Design and enforce IAM policies, roles, and permissions to ensure secure access control across cloud environments.

o  Implement and Manage SSO Solutions

o  Automate security and compliance checks using AWS-native tools.

3.  Multi-Cloud Management:

o  Integrate and manage workloads across AWS, GCP, and Azure platforms.

o  Optimize cloud resources for cost, performance, and scalability across multiple cloud providers.

o  Ensure seamless data and application portability between cloud environments.

4.  Advanced Linux Administration:

o  Manage and troubleshoot Linux-based systems in cloud environments.

o  Automate Linux server provisioning, configuration, and maintenance using tools like Ansible, Terraform, or Puppet.

o  Optimize Linux performance for cloud workloads.

5.  DevOps & Automation:

o  Implement Infrastructure as Code (IaC) using tools like Terraform, CloudFormation, or Deployment Manager.

o  Design, architect, and implement scalable CI/CD pipelines.

o  Automate CI/CD pipelines for application deployment across cloud platforms.

o  Monitor and optimize cloud infrastructure using tools like CloudWatch, Stackdriver, or Azure Monitor.

             

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