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Multi-Cloud DevOps Engineer (Azure, AWS,Google Cloud Platform)

Jobs via Dice

Irving · On-site Full-time Mid Level 2d ago

About the role

About Infolob Global, Inc.

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Infolob Global, Inc., is seeking the following.

Position Details

  • Position: Multi-Cloud DevOps Engineer (Azure, AWS,Google Cloud Platform)
  • Location: Irving, TX
  • Duration: Full Time
  • Rate: $ Open/Hour W2
  • Requirement: Local Resource required

About the Role

We are seeking a passionate and hands-on Multi-Cloud DevOps Engineer with 5 to 8 years of experience to join our cloud engineering team. You will work on provisioning and managing cloud infrastructure across AWS, Azure, and Google Cloud Platform, building CI/CD pipelines, managing containerized workloads, rehost/lift and shift VM and helping the team move toward greater automation and reliability. This role is ideal for engineers who have solid cloud fundamentals and are ready to grow into broader multi-cloud responsibilities.

Cloud Infrastructure

  • Provision and manage cloud resources on AWS, Azure, and/or Google Cloud Platform
  • Build and maintain VPCs, subnets, security groups, IAM roles
  • Support multi-cloud networking: VPN, peering, load balancers
  • Assist in cloud cost monitoring and basic FinOps practices
  • Landing zone setup is the most critical early task get IAM, networking, and logging right before the workload lands

CI/CD & Automation

  • Build and maintain CI/CD pipelines using GitHub Actions, Jenkins, or Azure DevOps
  • Write and manage infrastructure-as-code using Terraform or ARM/Bicep
  • Automate repetitive operational tasks using Python or Bash scripts
  • GIHUB/GITLAB

Containers & Kubernetes

  • Deploy and manage containerized applications using Docker and Kubernetes
  • Work with managed K8s services: EKS, AKS, or GKE
  • Write and maintain Helm charts for application deployment
  • Troubleshoot pod-level and cluster-level issues

Monitoring & Observability

  • Set up and maintain monitoring using Prometheus, Grafana, or Datadog
  • Configure alerts, dashboards, and log aggregation (ELK / CloudWatch / Azure Monitor)
  • Support on-call rotation and incident response
  • Document runbooks and escalation procedures

Collaboration & Growth

  • Work closely with development teams to support deployment workflows
  • Participate in code reviews for infrastructure and pipeline code
  • Contribute to internal documentation and knowledge sharing
  • Grow towards owning end-to-end cloud

Skills

AKSARMAWSAzureBashBicepCloudWatchDatadogDockerEKSELKGKEGitHub ActionsGitLabGoogle Cloud PlatformGrafanaHelmJenkinsKubernetesPrometheusPythonTerraformVPC

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