Cloud Infrastructure Administrator

National HarborFull-Timemid

OtherDevOps & InfrastructureCloud Infrastructure Administrator

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Overview

Job Title: Cloud Infrastructure Administrator (Azure, AI Deployments) Location: National Harbor, MD (Hybrid) Type: Full Time Compensation: $70,000 to $90,000 DOE,

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OtherDevOps & InfrastructureCloud Infrastructure Administrator

Job Title: Cloud Infrastructure Administrator (Azure, AI Deployments)

Location: National Harbor, MD (Hybrid)

Type: Full Time

Compensation: $70,000 to $90,000 DOE, Annually + Bonus Opportunities

Please note - applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time.

Eager to work at the intersection of business and bleeding-edge technology? Join a team that’s all in on bringing next-generation Azure AI capabilities to the most notable brands and institutions in the world. We are a forward-thinking company at the forefront of the AI revolution, dedicated to empowering businesses through innovative generative AI solutions.

Ideal candidates for this lower mid-tier position (not entry) must possess a solid foundation in cloud-based infrastructure; demonstrate experience working with leading-edge cloud offerings, and a desire to learn/test/deploy/support the latest AI/cloud technologies in a dynamic environment. This role is 100% Azure cloud focused. Our ideal candidate will also possess an innate desire to provide exceptional customer service with a positive, nurturing personality, and a willingness to help improve every client’s situation through the thoughtful application of Azure AI solutions.

Deploy Cloudforce’s Azure based AI product to customer environments, ensuring secure, reliable, and efficient implementation.

Maintain strong customer relationships through proactive communication, support, and guidance throughout the deployment and operational lifecycle.

Provide product support (Tier 1 escalation) through ServiceNow, resolving complex incidents and service requests in a timely manner.

Troubleshoot and resolve Azure AI platform issues, Azure cloud configuration problems, and integration challenges impacting customer environments.

Contribute to platform infrastructure enhancements and patches, utilizing GitHub, PowerShell, Bicep, etc.

Create and maintain internal and external documentation, including implementation guides, troubleshooting procedures, and knowledge articles.

Participate in product testing, validation, and quality assurance efforts to help enhance the stability, performance, and overall quality of the AI solution.

Collaborate with cross-functional teamsto escalate findings, share insights, and contribute to continuous improvements.

Stay up-to-date with the latest Azure/AI features and changes, evaluating their potential impact on the organization.

Manage tasking professionally in both independent and team-based scenarios.

Overall work will be split between 75% client-facing/project tasking and 25% infrastructure development related tasking.

Hands-on experience focused specifically on deploying and supporting AI, SaaS, Azure landing zones and various elements of Azure infrastructure in customer environments.

Strong troubleshooting skills across Azure cloud infrastructure - especially those involving roles, resource access, and networking issues.

Experience using ServiceNow or similar ITSM platforms for incident, request, and escalation management.

Familiarity with platforms like Jira, GitHub, Confluence, or similar.

During "face to face" client meetings and over email - excellent communication skills with the ability to maintain positive customer relationships and explain technical issues clearly.

Proven ability to produce high-quality technical documentation, both internal and customer-facing.

Familiarity with product testing, QA processes, or validating new features in a cloud or AI environment.

Proven history of successfully collaborating across multiple internal departments.

Azure certifications (e.g., AZ-900, AZ-104, AI-900, AI-102 or similar).

Familiarity with AI/ML platforms, model deployments, or AI related data pipelines.

A solid foundation in scripting and automation (e.g., PowerShell, Bicep, Python, Azure CLI, ARM templates).

Background in customer success, technical account management, or technical support roles.

A solid foundation of cloud security best practices, governance, and other elements of the Azure CAF and WAF.

Strong self-management skills and task seeking capabilities.