> Markdown version of [/jobs/ext/3826249-cloud-operations-engineer](https://www.wearedevelopers.com/jobs/ext/3826249-cloud-operations-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Cloud Operations Engineer - **Company:** Idealforce - **Location:** Phoenix, AZ, United States - **Experience:** Experienced - **Contract:** Contract - **Skills:** Artificial Intelligence, Amazon Web Services, Applications Architecture, Microsoft Azure, Bash Shell, Software as a Service, Cloud Computing, Cloud Engineering, Databases, Software Debugging, DevOps, Domain Name System (DNS), Fault Tolerance, Infrastructure as a Service (IaaS), JSON, Python (Programming Language), Linux Servers, Windows Servers, Platform as a Service (PAAS), Windows PowerShell, Cloud Services, Software Requirements Analysis, Data Streaming, TCP/IP, Virtualization Technology, Scripting, Load Balancing, Computer Network Technologies, Large Language Models, Firewalls (Computer Science), Infrastructure as Code (IaC), Git, Information Technology, Cloud Optimization, Software Version Control, Microservices - **Published:** October 18, 2026 - **Apply:** https://www.dice.com/job-detail/f0403a3f-6bda-4be9-aa47-cf4c7b2c562a ## About the Role * Cloud Infrastructure: Strong knowledge and ability to create and administer cloud computing solutions - especially with AWS. * Systems & Architecture: Thorough understanding of multi-tiered application architecture, with hands-on systems administration knowledge of Microsoft Windows Server and Linux Server operating systems in virtualized environments. * Automation & Scripting: 3-5+ years of experience automating operational routines using PowerShell, Python, Bash, JSON, or CLI tools. * DevOps & Source Control: Proficiency in administering and utilizing Git/SCM platforms, modern DevOps automation workflows, and Infrastructure as Code (IaC) implementations. * AI-Assisted Engineering: Demonstrated proficiency in leveraging modern AI tools and Large Language Models (LLMs) to accelerate scripting, debug complex infrastructure issues, draft documentation, and optimize daily operational workflows. * Enterprise Networking: Solid working knowledge of core networking principles, including DNS, TCP/IP, firewalls, load balancing, and provider-level data flow controls. * Professional Competencies: Demonstrated analytical problem-solving and critical-thinking skills. Ability to manage tasks independently with minimal supervision, adapt to shifting priorities, and communicate effectively across all organizational levels., * Education & Experience: Bachelor's degree in Computer Science, Information Management Systems, or a related discipline (or equivalent experience), alongside 3-5+ years of experience managing enterprise public cloud environments and automated infrastructure. * Cloud Certifications: Possession of at least one active, industry-recognized cloud vendor certification: o AWS: Associate or Professional level (Solutions Architect, CloudOps Engineer, DevOps Engineer). o Microsoft Azure: Associate or Professional level (Administrator or Solutions Architect). * Specialized Cloud Skills: Proven track record in Cloud Cost Optimization, automated auditing/monitoring, and managing database deployments across public cloud service models., At least 5 years of experience as a Cloud Engineer Microsoft Windows Server and Linux Server Cloud Infrastructure: Strong knowledge and ability to create and administer cloud computing solutions with AWS AI experience Preferred Skills Debug complex infrastructure issues AWS certification ## Description * Cloud Orchestration & Automation: Orchestrate and automate enterprise cloud platforms across the agency using Infrastructure as Code (IaC), scripting, and Source Control Management (SCM) platforms. * Environment Management: Own the deployment, configuration, and operation of scalable, highly available, and fault-tolerant systems across Public Cloud environments (IaaS and PaaS). * Strategic Architecture & Delivery: Partner with enterprise architects to gather system requirements and deliver robust, secure, and resilient IaaS, PaaS, and SaaS solutions adhering to cloud best practices. * Operational Oversight: Proactively monitor, audit, and debug technical issues across complex application stacks involving virtualization, containers, and microservices in a 24x7 mission-critical environment. * Security & Cost Governance: Implement agency security guidelines across all cloud environments and establish proactive operational cost-control and optimization mechanisms. * Documentation & Standards: Author technical project documentation and maintain desk procedures and standards for cloud application protocols and platform usage.