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Cloud Infrastructure Engineer With Terraform & CloudFormation Exp. (Phoenix, AZ– Day 1 Onsite)

Phoenix, AZ, US • Posted 13 hours ago • Updated 13 hours ago

Contract Corp To Corp

Contract Independent

Contract W2

12 Months

No Travel Required

Able to Sponsor

On-site

Depends on Experience

Magicforce

Fitment

Dice Job Match Score™

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Job Details

Skills

Terraform
CloudFormation
AWS
Azure
Cloud Infrastructure Engineer

Summary

We are seeking an experienced Cloud Infrastructure Engineer to design, implement, and manage scalable, secure, and highly available cloud environments. The ideal candidate should have strong expertise in cloud platforms, infrastructure automation, networking, security, and DevOps practices.

Key Responsibilities: - Experience: 8 Years

Design, deploy, and maintain cloud infrastructure on AWS, Azure, or Google Cloud Platform (Google Cloud Platform).
Implement and manage Infrastructure as Code (IaC) using Terraform, CloudFormation, or similar tools.
Monitor, troubleshoot, and optimize cloud resources for performance, availability, and cost efficiency.
Manage cloud networking, security groups, load balancers, VPNs, and firewalls.
Implement backup, disaster recovery, and business continuity solutions.
Collaborate with development and operations teams to support CI/CD pipelines and cloud-native applications.
Ensure compliance with security and governance standards.
Automate operational tasks using scripting languages such as Python, PowerShell, or Bash.
Support cloud migration and modernization initiatives.

Required Skills:

10+ years of experience in cloud infrastructure engineering.
Hands-on experience with AWS, Azure, or Google Cloud Platform.
Strong knowledge of Linux and/or Windows server administration.
Experience with Terraform, CloudFormation, or ARM templates.
Knowledge of container technologies such as Docker and Kubernetes.
Experience with CI/CD tools such as Jenkins, GitHub Actions, Azure DevOps, or GitLab.
Understanding of cloud security best practices and identity management.
Experience with monitoring and logging tools such as CloudWatch, Azure Monitor, Splunk, Datadog, or Prometheus.

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: 91163955
Position Id: 9019163
Posted 13 hours ago

Company Info

About Magicforce

MagicForce, is a Global Information Technology (IT) Staffing & Recruiting Firm, providing IT Staffing, Consulting, and Recruiting services. Responding to constantly changing technology needs and initiatives using internal staff alone becomes a challenge for most companies and IT departments.

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Phoenix, Arizona

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Today

Key Skills 1. Cloud and Infrastructure: Azure, on-prem systems, good-to-have Google Cloud Platform. 2. Kubernetes: Deploy, manage, and troubleshoot services. 3. Observability: ELK/EFK, Grafana, Prometheus, Dynatrace, strong log analysis; Splunk is a plus. 4. Automation and Scripting: Bash and Python. 5. Programming: Python(preferred), Java 6. AI and Agentic Systems: LangChain/CrewAI/AutoGen (anyone), LangGraph, RAG, LLM basics, evals for AI observability, NLP/deep learning/transformer fundamenta

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