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Enterprise Infrastructure Analyst Jobs (NOW HIRING)

Heaven-Hill

AI Infrastructure Analyst

Louisville, TN · On-site

AI Infrastructure Analyst G&A Analyst Louisville, KY, US This is an office based position in ... enterprise platform services. * Support onboarding of new AI platform capabilities by helping ...

St. Louis County, MO

Infrastructure Analyst

Clayton, MO · On-site

$31.63 - $37.96/hr

An Infrastructure Analyst role will perform problem resolution in support of the management and ... Support, maintain and secure the various enterprise wide and administrative applications supported ...

New

BBVA

Senior Enterprise Infrastructure Engineer

New York, NY · On-site

$118K - $161K/yr

Strong analytical and troubleshooting skills across virtualization, storage, backup, and Windows ... PowerShell Enterprise Infrastructure * Dell, HPE, or Cisco UCS servers * Data center operations

Stem Xpert

Infrastructure analyst-devops

Herndon, VA · On-site

Infrastructure analyst We have senior and junior position as well. Location: Herndon, VA Duration ... Review high level design issues relating to platform, enterprise software, and interactions and ...

Bass Pro Shops

The Director of Cloud & Enterprise Infrastructure is responsible for leading the strategy ... Lead incident management, problem resolution, and root cause analysis efforts. Oversee ...

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Enterprise Infrastructure Analyst information

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How much do enterprise infrastructure analyst jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for enterprise infrastructure analyst in the United States is $46.24, according to ZipRecruiter salary data. Most workers in this role earn between $37.02 and $54.57 per hour, depending on experience, location, and employer.

What is an enterprise infrastructure analyst?

Enterprise Infrastructure Analysts are IT professionals responsible for designing, implementing, maintaining, and optimizing an organization's core technology systems and networks. They ensure that servers, storage, cloud services, and network infrastructure are reliable, secure, and scalable to meet business needs. Their duties often include monitoring performance, troubleshooting issues, and collaborating with other IT teams to support organizational goals. These analysts play a critical role in maintaining business continuity and supporting digital transformation initiatives.

What are the key skills and qualifications needed to thrive as an enterprise infrastructure analyst?

To thrive as an Enterprise Infrastructure Analyst, you need in-depth knowledge of network architecture, server management, and IT security, typically supported by a degree in computer science or related fields. Familiarity with virtualization platforms (such as VMware), cloud services (like AWS or Azure), and certifications such as CompTIA Network+ or Microsoft Certified: Azure Administrator are highly valued. Analytical thinking, problem-solving, and effective communication are essential soft skills for collaborating with cross-functional teams and addressing complex infrastructure issues. These competencies ensure the stability, scalability, and security of enterprise systems, which are vital for organizational efficiency and business continuity.

What are some common challenges faced by enterprise infrastructure analysts when managing large-scale IT systems?

Enterprise Infrastructure Analysts often encounter challenges such as ensuring system uptime across multiple platforms, integrating new technologies with legacy systems, and maintaining security standards in a dynamic environment. They must balance proactive maintenance with rapid incident response, all while coordinating with cross-functional teams like network engineers, cybersecurity specialists, and business stakeholders. Staying updated on emerging tech trends and regulatory requirements is also essential, as is developing effective documentation and communication to support seamless operations.

What cities are hiring for Enterprise Infrastructure Analyst jobs?

Cities with the most Enterprise Infrastructure Analyst job openings:

What states have the most Enterprise Infrastructure Analyst jobs?

States with the most job openings for Enterprise Infrastructure Analyst jobs include:

What are popular job titles related to Enterprise Infrastructure Analyst jobs?

For Enterprise Infrastructure Analyst jobs, the most frequently searched job titles are:

Infographic showing various Enterprise Infrastructure Analyst job openings in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $96,171 per year, or $46.2 per hour.

AI Infrastructure Analyst

Louisville, TN • On-site

Heaven-Hill
See more jobs at Heaven-Hillexternal

Other

Posted 26 days ago

Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

AI Infrastructure Analyst

G&A Analyst Louisville, KY, US

This is an office based position in Louisville, KY.

What the Role Is

The AI Infrastructure Analyst is responsible for the day-to-day administration, support, monitoring, and operational reliability of AI platform services and supporting Azure resources. This role works closely with Infrastructure Engineering to maintain a secure, stable, and supportable AI platform environment. The Analyst independently manages routine platform work and contributes to non-routine troubleshooting, deployment support, documentation, and user enablement. This role focuses on AI platform operations and support, not data science or model development.

The focus of this role is on AI platform operations, Azure administration, monitoring, and supportability.

How You Will Spend Your Time? Position Responsibilities include, but not limited to: Standard Responsibilities:
  • Support the day-to-day operation of AI platform services and related Azure resources, including access controls, service identities, secrets, registries, workspaces, and supporting compute or container services as applicable.
  • Monitor dashboards, alerts, logs, traces, and service health for AI workloads and respond to incidents in accordance with runbooks, support procedures, and escalation paths.
  • Execute operational tasks such as onboarding support, access changes, configuration updates, endpoint checks, deployment validation, certificate or secret rotations, and documentation maintenance.
  • Partner with Infrastructure Engineering on shared dependencies involving networking, identity, security controls, certificates, backup and recovery, and platform availability.
  • Maintain documentation, runbooks, operating checklists, knowledge articles, and change records that support consistent AI platform operations.
  • Contribute to scripting, automation, and process improvements that reduce manual effort and improve service reliability.
  • Support platform users, project teams, and vendors by providing operational assistance, issue triage, and escalation when needed.
  • Participate in after-hours maintenance activities and incident response as assigned.
Level-Specific Responsibilities:
  • Administer and support AI platform services and supporting Azure resources used for AI-related workloads.
  • Monitor platform health, service availability, alerts, logs, traces, and performance metrics; investigate and resolve routine issues and elevate more complex issues when needed.
  • Provision, maintain, and document Azure resources related to AI platform support, including resource groups, service identities, key management, registries, storage, and supporting services as applicable.
  • Support platform deployments, configuration changes, release validation, and rollback activities using established change management practices.
  • Troubleshoot platform, access, connectivity, and service issues across AI-related infrastructure and supporting components.
  • Maintain and improve operational documentation, runbooks, standard procedures, and support knowledge for AI platform services.
  • Support identity, access, and governance processes for AI platform users, service accounts, and application integrations.
  • Build and maintain basic automation, scripting, and operational tooling to improve repeatability, visibility, and support efficiency.
  • Partner with Infrastructure Engineering on shared dependencies involving networking, security, identity, certificates, storage, and enterprise platform services.
  • Support onboarding of new AI platform capabilities by helping validate operational readiness, monitoring coverage, and support processes.
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