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Temporary Azure Infrastructure Engineer Jobs in Illinois

1 point system

Azure AI Architect with M365

Moline, IL · On-site

$57.25 - $74.75/hr

Ensure scalability and resilience of AI applications using Azure infrastructure as code (Terraform, Bicep, ARM) Cross-Team Leadership & Innovation * Collaborate with data scientists, engineers, and ...

Cboe Global Markets

Senior Infrastructure Engineer

Chicago, IL · On-site

$111K - $151K/yr

... infrastructure/platform engineering. * Production experience managing Kubernetes, preferably in ... Hands-on experience with cloud platforms (AWS, Azure or GCP) in production environments. * Strong ...

fairlife

Sr. Infrastructure Engineer

Chicago, IL

$10K/mo

The Sr. Infrastructure Engineer will focus on Microsoft & Endpoint and will own the development ... Azure AD integration). Design and oversee Microsoft Teams: policies, channels, guest access ...

Dexian DISYS

Full Stack Azure Developer

Chicago, IL · On-site

$75 - $80/hr

Senior Full Stack Azure Developer Location: Chicago, IL 60602 Work Model: Hybrid - 3 Days/Week ... Provision and manage Azure infrastructure using Terraform and Infrastructure as Code practices.

fairlife LLC

Sr. Infrastructure Engineer

Chicago, IL · On-site

$111K - $151K/yr

The Sr. Infrastructure Engineer will focus on Microsoft & Endpoint and will own the development ... Azure AD integration). * Design and oversee Microsoft Teams: policies, channels, guest access ...

fairlife

Sr. Infrastructure Engineer

Chicago, IL · On-site

$111K - $151K/yr

The Sr. Infrastructure Engineer will focus on Microsoft & Endpoint and will own the development ... Azure AD integration). • Design and oversee Microsoft Teams: policies, channels, guest access ...

fairlife

Sr. Infrastructure Engineer

Chicago, IL

$111K - $151K/yr

The Sr. Infrastructure Engineer will focus on Microsoft & Endpoint and will own the development ... Azure AD integration). · Design and oversee Microsoft Teams: policies, channels, guest access ...

SmartIPlace

Sr. Azure Cloud Engineer[Hybrid]

Chicago, IL · On-site

$57.50 - $76.75/hr

Sr. Azure Cloud Engineer 12 month contract Chicago, IL Hybrid USC/GC Required Skills & Experience: * 7-10+ years of IT infrastructure engineering experience, with 5+ years focused on Microsoft Azure.

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Temporary Azure Infrastructure Engineer information

What are the key skills and qualifications needed to thrive as a Temporary Azure Infrastructure Engineer?

To thrive as a Temporary Azure Infrastructure Engineer, you need expertise in cloud computing, infrastructure design, and network security, usually supported by a degree in IT or computer science and experience with Microsoft Azure. Familiarity with Azure Resource Manager, PowerShell scripting, and relevant certifications like Microsoft Certified: Azure Administrator Associate are typically required. Strong problem-solving abilities, effective communication, and adaptability are valuable soft skills for this role. These skills and qualifications are crucial to efficiently deploy, manage, and troubleshoot cloud infrastructure to meet dynamic business demands.

What are some common challenges faced by Temporary Azure Infrastructure Engineers, and how can they be addressed?

Temporary Azure Infrastructure Engineers often face challenges such as quickly adapting to existing cloud environments and understanding project-specific requirements with limited onboarding time. To succeed, it's important to efficiently review documentation, ask clarifying questions, and leverage Azure's native tools for rapid environment assessment. Collaboration with full-time team members and effective communication are key to ensuring smooth integration and successful project delivery within the contract period.

What does a Temporary Azure Infrastructure Engineer do?

A Temporary Azure Infrastructure Engineer is responsible for designing, implementing, and maintaining cloud infrastructure using Microsoft Azure, typically on a short-term or contract basis. They help organizations migrate workloads to Azure, manage virtual networks, configure storage solutions, and ensure systems are secure and scalable. Their role often includes troubleshooting issues, optimizing cloud resources, and collaborating with other IT professionals to support business needs. They are expected to have a strong understanding of Azure services, automation tools, and cloud security best practices.

What is the difference between Temporary Azure Infrastructure Engineer vs Cloud Infrastructure Technician?

AspectTemporary Azure Infrastructure EngineerCloud Infrastructure Technician
CertificationsAzure certifications (e.g., AZ-104)General cloud certifications (e.g., CompTIA Cloud+)
Work EnvironmentAzure cloud platforms, project-based rolesVarious cloud environments, on-premises and cloud
Industry UsageIT, cloud service providers, enterprise ITIT support, network management, cloud services
Search IntentRoles focused on Azure infrastructure, temporary positionsGeneral cloud infrastructure roles, often permanent or contract

The Temporary Azure Infrastructure Engineer specializes in deploying and managing Azure cloud environments on a temporary basis, often requiring specific Azure certifications. In contrast, a Cloud Infrastructure Technician has a broader focus on various cloud platforms and may work in different environments. Both roles are essential in cloud management but differ in scope and certification requirements.

What are the most commonly searched types of Azure Infrastructure Engineer jobs in Illinois? The most popular types of Azure Infrastructure Engineer jobs in Illinois are:
What cities in Illinois are hiring for Temporary Azure Infrastructure Engineer jobs? Cities in Illinois with the most Temporary Azure Infrastructure Engineer job openings:
Temporary Azure Infrastructure Engineer jobs near you

Azure AI Architect with M365

1 point system

Moline, IL • On-site

$57.25 - $74.75/hr

Contractor

Re-posted 28 days ago

Job description

Azure AI Architect with M365

Moline, IL Onsite

Rate: Open (DOE)

No H1B, CPT, OPT

Position Overview

We are seeking an experienced Azure AI Architect to lead the design, implementation, and optimization of AI solutions within Microsoft Azure's ecosystem. This senior role requires deep expertise in AI/ML architectures, Azure cloud services, M365 Architectures including Copilot and Enterprise AI strategy, with a strong ability to drive innovation and scalability.

Key Responsibilities

AI Strategy & Architecture

  • Define and execute enterprise-wide AI strategies leveraging Azure AI, Azure OpenAI Service, Azure copilot studio, Azure AI Foundry, Azure AI Services, Azure Machine Learning, and Azure Cognitive Services
  • Architect scalable and secure AI solutions using Azure Functions, Kubernetes Service (AKS), and Databricks
  • Develop AI governance frameworks, ensuring compliance with responsible AI principles and security best practices

AI Development & Model Optimization

  • Lead the development of generative AI applications, including LLMs, RAG models, AI Agents and custom AI pipelines
  • Implement prompt engineering, fine-tuning, and retrieval mechanisms for improved AI performance
  • Design vector-based search architectures using Azure Cognitive Search and vector databases

Cloud & DevOps Excellence

  • Drive MLOps best practices, automating AI model lifecycle with Azure DevOps and GitHub Actions
  • Optimize cloud AI workloads, balancing performance, cost, and security
  • Ensure scalability and resilience of AI applications using Azure infrastructure as code (Terraform, Bicep, ARM)

Cross-Team Leadership & Innovation

  • Collaborate with data scientists, engineers, and stakeholders to design AI-driven solutions
  • Evaluate emerging AI technologies, integrating innovations like LangChain, Semantic Kernel, and multi-agent AI frameworks
  • Lead AI architectural reviews, providing mentorship and best practices guidance to teams

Required Qualifications

Technical Expertise

  • 12+ years of experience in AI/ML architecture and Azure cloud environments
  • Strong proficiency in Python, C#, or R, with expertise in Azure AI services
  • Hands-on experience with M365 Copilot, M365 Copilot Studio, Azure OpenAI, Azure Bot Framework, and Cognitive Services
  • Deep understanding of LLMs, RAG models, and vector database implementations

AI & Cloud Certifications

  • Azure certifications preferred (AI-102, AZ-305, DP-100, AZ-305)
  • Experience with Terraform, Bicep, and ARM templates for cloud automation
  • Familiarity with MLOps frameworks for scalable AI deployment

Leadership & Business Impact

  • Proven ability to translate business needs into AI solutions
  • Strong problem-solving, strategic thinking, and innovation mindset
  • Excellent communication skills, capable of influencing senior stakeholders

Preferred Qualifications

  • Master’s degree in Computer Science, AI, or a related field
  • Experience with multi-cloud AI strategies, predominantly on Azure
  • Expertise in AI security, privacy, and compliance frameworks
  • Prior experience in enterprise AI solutions with large-scale deployments