Cloud Solutions Engineer III

About

Kforce has a client in Greenwood Village, CO that is seeking a senior-level Cloud Solutions Engineer III to support a highly visible and critical cloud infrastructure environment supporting enterprise AI/ML initiatives. This is a hands-on engineering role focused on Azure cloud infrastructure, networking, security, automation, model deployment support, and cloud operations. This position supports an AI/ML and data science organization responsible for deploying machine learning models into enterprise cloud environments.

Key Responsibilities

• Administer, maintain, and support enterprise cloud infrastructure environments
• Build, configure, optimize, and automate cloud resources and operational workflows
• Support AI/ML model deployment infrastructure in Azure environments
• Partner with AI engineers and data science teams to deploy and manage cloud-hosted models
• Ensure cloud resources are securely configured and not publicly exposed
• Support API management and secure endpoint access for deployed AI/ML services
• Assist with CI/CD deployment pipelines for model deployment workflows
• Collaborate with development, networking, architecture, and infrastructure teams
• Support Infrastructure as Code initiatives and future cloud migration efforts
• Troubleshoot production cloud infrastructure and operational issues
• Handle cloud provisioning, permissions management, and resource governance
• Provide ongoing operational support and cloud optimization recommendations

Manage and troubleshoot networking configurations including:

• Virtual Networks (VNets)
• Subnets
• DNS
• Firewall rules
• IP restrictions
• Access controls and permissions

Requirements

• 7+ years of experience in cloud engineering, cloud infrastructure, or systems engineering
• Strong hands-on experience with Microsoft Azure
• Experience with at least one additional cloud provider (AWS or Google Cloud Platform preferred)
• Strong networking expertise including: VNets, Subnets, DNS, Firewall configurations, IP management, Secure cloud networking principles
• Experience securing enterprise cloud environments and managing permissions/access policies
• Strong scripting and automation experience using: Python, Bash, PowerShell
• Experience with Infrastructure as Code concepts and tools
• Experience supporting CI/CD pipelines and deployment automation
• Experience working with GitLab repositories and deployment workflows
• Strong understanding of APIs and API management
• Experience supporting enterprise-scale cloud infrastructure environments
• Linux/Unix systems administration experience
• Strong troubleshooting and operational support skills
• Ability to work independently and contribute immediately in a fast-paced environment

Preferred Qualifications

• Experience supporting AI/ML or data science teams
• Experience deploying machine learning models into Azure environments
• Familiarity with Azure ML Studio
• Experience with Databricks environments
• Experience with Terraform and cloud migration initiatives
• Exposure to Google Cloud Platform migration projects
• Understanding of enterprise cloud governance and security best practices
• Familiarity with ITIL or enterprise operational standards

Benefits

• Medical/dental/vision insurance
• HSA
• FSA
• 401(k)
• Life, disability & ADD insurance
• Paid time off (salaried personnel)