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

Irving, TX, US • Posted 1 hour ago • Updated 1 hour ago
Full Time
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • ARM
  • Amazon Web Services
  • Cloud Computing
  • Collaboration
  • Bash
  • Computer Networking
  • Continuous Delivery
  • Continuous Integration
  • Dashboard
  • DevOps
  • Docker
  • Documentation
  • GitHub
  • GitLab
  • Good Clinical Practice
  • Google Cloud Platform
  • Grafana
  • IaaS
  • Jenkins
  • Kubernetes
  • Management
  • Microsoft Azure
  • ProVision
  • Provisioning
  • Python
  • Terraform
  • Virtual Machines
  • Virtual Private Network
  • AWS
  • Azure
  • GCP
  • FinOps
  • VPN
  • Peering
  • Subnets
  • IAM
  • Load Balancers
  • Multi Cloud

Summary

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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Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91140857
  • Position Id: 8955931
  • Posted 1 hour ago
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