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

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3.2
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Jobs via Dice
Job Type   /   Job Level
Full-time   /   Others/Any
Job Location
Irving, TX
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Dice is the leading career destination for tech experts at every stage of their careers. Our client, Infolob Global, Inc., is seeking the following. Apply via Dice today!

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

Location: Irving, TX

Duration: Full Time

Rate: $ Open/Hour W2

  • Local Resource required ***

Required skills:

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

Please send your resume in word format, following details to or call me @ for more information:

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