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