ASRS - AWS Certified Cloud Operations Engineer - Hybrid - 14166

This is a contract to hire position. All candidates must be eligible to convert to an FTE.

ONLY W2, NO C2C

Job Title: AWS certified Cloud Operations Engineer-

Job ID: 14166 - Hybrid / Remote (In-office once monthly, and as required for business needs)

Client: State of Arizona - ASRS

Contract: 6 Months from projected start date- convert to an FTE

Location: Phoenix, AZ 85012.

Closing Date: 10/21/2026@ 4:00pm

Required Skills

• 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

Key Responsibilities

• 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.

Required Knowledge, Skills & Abilities

• 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.

Preferred Qualifications

• 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:
  • AWS: Associate or Professional level (Solutions Architect, CloudOps Engineer, DevOps Engineer).
  • 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.