Arizona Residents Only. Candidates must currently reside in Arizona.
We are seeking an experienced Cloud Operations Engineer to support enterprise cloud infrastructure, automation, and operational engineering for a large public-sector organization.
The ideal candidate will have strong hands-on experience with AWS, Infrastructure as Code (IaC), DevOps automation, Windows/Linux administration, and cloud operations, along with the ability to use modern AI tools to improve engineering productivity.
This is a contract-to-hire opportunity intended for professionals interested in transitioning into a long-term, permanent position.
Design, deploy, configure, and maintain scalable, secure, highly available cloud infrastructure.
Automate cloud provisioning, configuration management, and operational processes using Infrastructure as Code (IaC), scripting, and source control.
Manage enterprise cloud environments across IaaS, PaaS, and SaaS platforms.
Collaborate with enterprise architects to deliver secure, reliable, and resilient cloud solutions.
Monitor, troubleshoot, and resolve infrastructure issues involving virtualization, containers, microservices, and complex application environments.
Implement cloud security standards, monitoring, auditing, and cost optimization practices.
Develop and maintain automation scripts using PowerShell, Python, Bash, JSON, and CLI tools.
Utilize AI-assisted engineering tools and Large Language Models (LLMs) to accelerate scripting, troubleshooting, documentation, and operational workflows.
Maintain technical documentation, operating procedures, and cloud infrastructure standards.
Participate in occasional after-hours maintenance and operational change windows.
Minimum 5 years of experience as a Cloud Engineer or in a comparable cloud infrastructure engineering role.
Strong hands-on experience designing, deploying, administering, and troubleshooting AWS cloud environments.
Experience administering Microsoft Windows Server and Linux Server in virtualized environments.
3–5+ years of experience developing automation scripts using PowerShell, Python, Bash, JSON, or CLI tools.
Experience with Infrastructure as Code (IaC), Git, source control, and modern DevOps workflows.
Solid understanding of multi-tier application architecture and enterprise cloud operations.
Knowledge of DNS, TCP/IP, firewalls, load balancers, and cloud networking.
Experience monitoring and troubleshooting complex enterprise infrastructure.
Practical experience using AI tools or LLMs for scripting, debugging, documentation, or workflow automation.
Strong analytical, troubleshooting, communication, and problem-solving skills.
Ability to work independently and manage competing priorities.
Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent professional experience.
Active AWS certification, such as AWS Solutions Architect, CloudOps Engineer, or DevOps Engineer at the Associate or Professional level.
Microsoft Azure Administrator or Solutions Architect certification.
Experience with cloud cost optimization, automated monitoring, auditing, and database deployments.
Experience supporting enterprise-scale, mission-critical cloud environments.
Must currently reside in Arizona.
Must be available for onsite work in Phoenix as required, including the first day.
Must be available for an in-person interview within approximately one week of request.
Must be able to start within approximately two weeks of an offer, subject to onboarding requirements.
Must be eligible for conversion to permanent full-time employment without employer-sponsored visa support.
Must successfully complete required background screening.
Must be available for occasional after-hours maintenance activities.
Primarily remote work arrangement.
Opportunity to work with enterprise AWS cloud infrastructure and modern automation technologies.
Exposure to AI-assisted engineering and cloud modernization initiatives.
Potential transition to a permanent position with a comprehensive benefits package.
Long-term career growth in enterprise cloud operations.
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