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Cloud Engineer

Usama AslamRemoteMIDPosted 4h ago
AWSAzureGCPEC2S3VPCIAMRDSLambdaLinuxShell ScriptingDockerKubernetesEKSAKSGKETerraformCloudFormationAnsibleGitHub ActionsGitLab CIJenkinsDNSLoad BalancersVPNsFirewallsSecurity GroupsCloudWatchPrometheusGrafanaELKPythonNode.jsAI/MLGPURAGAgentic AIAWS Solutions ArchitectAzure AdministratorGCP Associate
About the Role We are looking for a Cloud Engineer to join our team at U DEVS (SMC-PRIVATE) LIMITED. This role focuses on designing and managing the cloud infrastructure behind AI-powered products. Key Responsibilities • Design and manage cloud infrastructure for AI-powered products • Ensure cloud architecture design, scalability, high availability, and cost optimization • Perform Linux administration and shell scripting • Containerize applications with Docker and orchestrate with Kubernetes • Implement Infrastructure as Code using Terraform, CloudFormation, or Ansible • Set up and manage CI/CD pipelines using GitHub Actions, GitLab CI, or Jenkins • Handle networking fundamentals including DNS, load balancers, VPNs, firewalls, and security groups • Implement cloud security best practices including IAM policies, encryption, and secrets management • Monitor, log, and alert using CloudWatch, Prometheus, Grafana, or ELK Requirements • 1 to 4 years of experience with AWS, Azure, or GCP • Hands-on experience with EC2, S3, VPC, IAM, RDS, Lambda, or equivalents • Strong understanding of cloud architecture design, scalability, high availability, and cost optimization • Proficiency in Linux administration and shell scripting • Experience with containerization using Docker and orchestration with Kubernetes • Knowledge of Infrastructure as Code tools like Terraform, CloudFormation, or Ansible • Familiarity with CI/CD pipelines using GitHub Actions, GitLab CI, or Jenkins • Understanding of networking fundamentals including DNS, load balancers, VPNs, firewalls, and security groups • Knowledge of cloud security best practices including IAM policies, encryption, and secrets management • Experience with monitoring, logging, and alerting tools like CloudWatch, Prometheus, Grafana, or ELK • Basic scripting knowledge in Python or Node.js • Exposure to deploying AI/ML workloads is a plus • Cloud certifications (AWS Solutions Architect, Azure Administrator, or GCP Associate) are a plus Benefits • Training provided • Real projects, real ownership, and room to grow

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