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4 Stack Infrastructure Infrastructure Analyst Jobs Hiring Near You

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STACK Infrastructure Jobs Information

What are the key skills and qualifications needed to thrive as an Infrastructure Analyst, and why are they important?

To thrive as an Infrastructure Analyst, you need a solid understanding of network architecture, operating systems, and IT infrastructure management, typically supported by a degree in computer science or a related field. Familiarity with tools such as VMware, Microsoft Azure, Active Directory, and relevant certifications like CompTIA Network+ or Microsoft Certified: Azure Administrator Associate is highly valued. Strong analytical thinking, problem-solving abilities, and effective communication skills help you collaborate with teams and address technical challenges proactively. These skills and qualifications are essential to ensure reliable, secure, and efficient IT operations that support organizational goals.

What are some common challenges Infrastructure Analysts face when supporting large-scale IT environments?

Infrastructure Analysts often encounter challenges such as managing multiple systems with varying technologies, ensuring minimal downtime during maintenance or upgrades, and addressing unexpected performance issues quickly. They must balance proactive monitoring with reactive troubleshooting, often collaborating closely with network engineers, security teams, and application support to resolve incidents efficiently. Staying up-to-date with evolving technologies and best practices is also essential for effectively supporting complex, enterprise-scale environments.

What does an Infrastructure Analyst do?

An Infrastructure Analyst is responsible for designing, implementing, maintaining, and supporting an organization’s IT infrastructure. This includes servers, networks, storage systems, and cloud platforms. They monitor system performance, troubleshoot issues, and ensure the security and reliability of technology systems to meet business needs. Infrastructure Analysts often collaborate with other IT professionals to plan upgrades and recommend new technologies that improve efficiency and security.

What is the difference between Infrastructure Analyst vs Network Administrator?

AspectInfrastructure AnalystNetwork Administrator
CertificationsCompTIA Network+, Cisco CCNA, Microsoft certificationsCompTIA Network+, Cisco CCNA, Microsoft certifications
Work EnvironmentData centers, enterprise IT teams, project-based settingsNetwork operations centers, corporate offices, troubleshooting environments
Employer & Industry UsageIT consulting firms, large corporations, government agenciesBusinesses with extensive network infrastructure, telecom companies

Both roles require similar certifications and often work in enterprise IT environments. However, Infrastructure Analysts focus on overall system infrastructure, including servers and storage, while Network Administrators specialize in managing and maintaining network hardware and connectivity. The roles are complementary but distinct in their primary focus areas.

What other companies are hiring for Infrastructure Analyst jobs?
What are the most popular jobs at Stack Infrastructure?
What are the most popular categories at Stack Infrastructure?
Infographic showing various Infrastructure Analyst job openings at Stack Infrastructure in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Physical job distribution.
Cloud Infrastructure and Automation Engineer

Cloud Infrastructure and Automation Engineer

STACK Infrastructure

Plano, TX • On-site

$103.50K - $135.80K/yr

Full-time

Posted 2 days ago

Job description

Job Summary:
STACK Infrastructure is an award-winning industry leader providing digital infrastructure for innovative companies. The Cloud Infrastructure & Automation Engineer will own the cloud platform and operational infrastructure, ensuring the successful deployment and reliability of automation and data initiatives.
Responsibilities:
• Design, deploy, and manage Azure infrastructure across dual EA subscriptions (Dev/Non-Prod and Production) including Databricks workspaces, AI Search clusters, Cosmos DB instances, ADLS Gen2, Azure OpenAI Service endpoints, and Azure Functions.
• Implement Infrastructure-as-Code using Terraform, Bicep, or ARM templates with modular, version-controlled patterns enabling new workloads to deploy within hours.
• Configure Azure networking (VNets, Private Endpoints, NSGs, Private DNS) for secure, globally distributed platform environments across AMER, EMEA, and APAC.
• Build container-based deployment patterns (Azure Container Apps, AKS) for API serving, agent hosting, model inference, and automation execution.
• Provision and manage LLM/SLM serving infrastructure: Azure OpenAI deployments, model endpoints, token-based scaling, and multi-region failover.
• Design end-to-end CI/CD pipelines (Azure DevOps, GitHub Actions) for application deployment, model promotion, data pipeline orchestration, and automated testing with blue/green and canary patterns.
• Build MLOps pipelines for model registration, versioning, A/B testing, canary deployment, and automated rollback of LLM endpoints and RAG configurations.
• Deploy and manage automation runtime infrastructure: Azure Logic Apps, Power Automate, Azure Functions, Durable Functions, and event-driven triggers for intelligent workflows.
• Maintain agent hosting environments (Chainlit, FastAPI, Teams bots) for the HR PM Agent and future agentic solutions, with auto-scaling and health monitoring.
• Create reusable deployment accelerators (Terraform modules, Helm charts, pipeline templates) to reduce time-to-production for each successive initiative.
• Drive Azure cost optimization: commitment-tier analysis, right-sizing, automated shutdown policies, and token consumption tracking across LLM endpoints.
• Implement RBAC, managed identities, Key Vault integration, and least-privilege access across all platform components.
• Ensure SOX compliance, data residency, and governance using Microsoft Purview, Defender XDR, and Azure Policy.
• Manage secrets, certificates, API key rotation, and Entra ID integration for platform authentication across global regions.
• Produce monthly infrastructure cost and performance reports with spend trends, cost-per-query, and optimization metrics.
Qualifications:
Required:
• 7+ years of cloud infrastructure/DevOps experience with at least 2 years supporting AI/ML, automation, or data platform workloads at scale.
• Expert-level Azure skills: Databricks, Cosmos DB, Azure Functions, Logic Apps, ADLS Gen2, Azure AI Search, Azure OpenAI Service, Container Apps/AKS, and Azure Monitor.
• Strong IaC proficiency: Terraform (modules, state, workspaces), Bicep, or ARM templates with environment-templated patterns.
• Hands-on CI/CD engineering: Azure DevOps, GitHub Actions, container registries, Helm charts, and blue/green/canary deployment automation.
• Solid Python and Bash skills for infrastructure tooling, automation scripts, and deployment utilities.
• Deep understanding of Azure networking, security (RBAC, managed identities, Key Vault, Private Endpoints, Azure Policy), and cost management.
• Experience with containerization (Docker) and orchestration (AKS or Container Apps) for production workload and model serving.
• Familiarity with AI platform infrastructure: Databricks provisioning, Cosmos DB scaling, AI Search management, and LLM endpoint deployment.
Preferred:
• Experience deploying RAG platform infrastructure, vector search clusters, and LLM/SLM serving endpoints in production.
• Hands-on MLOps: model registries, experiment tracking, automated deployment pipelines, and A/B testing infrastructure.
• Background in enterprise IT environments with M365, Intune, and Entra ID.
• Azure certifications: AZ-104, AZ-400, AZ-305.
• FinOps certification or demonstrated cloud cost optimization experience delivering measurable savings.
• Experience supporting global operations across AMER, EMEA, and APAC with high-availability requirements.
Company:
STACK Infrastructure provides digital infrastructure solutions, focusing on data centers, colocation, and build-to-suit projects. Founded in 2019, the company is headquartered in Denver, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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