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Azure Infrastructure Engineer Jobs in Florida (NOW HIRING)

Meriton

Infrastructure Automation Engineer

Tampa, FL · On-site

$101K - $133K/yr

Infrastructure Automation Engineer Reports to: IT Infrastructure Engineering Senior Manager FLSA ... Azure or other major providers). * Associate's degree preferred. * Strong scripting skills in ...

Segment (Twilio)

Infrastructure Security Engineer

Miami, FL · On-site

$136K/yr

As our Infrastructure Security Engineer, you'll own the security of everything Opendoor runs on ... Cloud Platforms: AWS (primary), Azure, GCP * Containers and Orchestration: EKS, Bottlerocket ...

Fabergent

IT Infrastructure Engineer

Miami, FL · On-site

Configure and implement IaaS solutions within the Azure platform Install and configure Microsoft ... experience in corporate infrastructure environment Knowledge and experience installing and ...

Opendoor

Infrastructure Security Engineer

Miami, FL · On-site

$136K/yr

As our Infrastructure Security Engineer, you'll own the security of everything Opendoor runs on ... AWS (primary), Azure, GCP • Containers and Orchestration: EKS, Bottlerocket, Karpenter, Helm ...

DTCC

$15.75 - $20.50/hr

Build Your Future at DTCC As an Infrastructure Engineer Intern in IT, you will help engineer ... as AWS or Azure, virtualization, containers, networking fundamentals, monitoring tools ...

Fisher Investments

Azure Cloud Engineer

Tampa, FL · Hybrid

You will maintain the operational Azure cloud environment, perform infrastructure deployments and ... You will work with Infrastructure Engineering to make sure all deployments follow standards, are ...

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Azure Infrastructure Engineer information

See Florida salary details

$34.7K

$95K

$136K

How much do azure infrastructure engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for azure infrastructure engineer in Florida is $94,956.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,300.00 and $105,400.00 per year, depending on experience, location, and employer.

What does an Azure Infrastructure Engineer do?

An Azure Infrastructure Engineer is responsible for designing, deploying, and managing cloud-based infrastructure on Microsoft Azure. They ensure the stability, security, and scalability of cloud environments, often working with networking, virtualization, automation, and monitoring tools. Their role includes configuring virtual machines, managing storage solutions, implementing security policies, and optimizing cloud performance. They also collaborate with developers and IT teams to support cloud-based applications and services.

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

To thrive as an Azure Infrastructure Engineer, you need a deep understanding of cloud computing, networking, and security principles, often supported by a degree in computer science or related experience. Familiarity with Microsoft Azure services, scripting tools like PowerShell, and certifications such as Microsoft Certified: Azure Administrator Associate are highly valued. Analytical thinking, strong problem-solving abilities, and effective collaboration enable success in cross-functional teams. These skills are crucial for designing, deploying, and managing secure, scalable, and cost-effective cloud infrastructures that meet organizational needs.

What are some typical daily responsibilities of an Azure Infrastructure Engineer?

As an Azure Infrastructure Engineer, your daily tasks often include provisioning and configuring Azure resources, monitoring system performance, implementing security measures, and troubleshooting any issues that arise. You'll collaborate closely with development, operations, and security teams to ensure the stability and scalability of cloud environments. Regularly applying updates, automating routine processes, and keeping documentation current are also important parts of the job. This role is dynamic and fast-paced, offering both technical challenges and opportunities to work on innovative cloud solutions.

What are the most commonly searched types of Azure Infrastructure Engineer jobs in Florida?

The most popular types of Azure Infrastructure Engineer jobs in Florida are:

What are popular job titles related to Azure Infrastructure Engineer jobs in Florida?

For Azure Infrastructure Engineer jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Azure Infrastructure Engineer jobs in Florida look for?

The top searched job categories for Azure Infrastructure Engineer jobs in Florida are:

Azure Infrastructure Engineer jobs near you
Infographic showing various Azure Infrastructure Engineer job openings in Florida as of August 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $94,956 per year, or $45.7 per hour.

AI Infrastructure & Platform Engineer

Delray Beach, FL • On-site

International Materials, LLC
Trucking • 51 - 200 employees
Learn more about International Materials, LLCexternal

$100K - $132K/yr

Full-time

Posted 22 days ago

Job description

Description

IMI is seeking an AI Infrastructure & Platform Engineer to help build and expand our internal AI capabilities.

This is a hands-on opportunity to work across AI, software development, cloud infrastructure, and systems integration as we develop a scalable and secure foundation for AI across the organization.


Working alongside internal teams and external technology partners, this individual will help design and build our internal AI platform, develop AI-powered workflows and integrations, and bring more AI capabilities in-house over time. The role will also help evaluate when to build solutions internally, when to leverage third-party technologies, and how to securely and reliably bring those solutions into production.


The ideal candidate combines a strong software and cloud infrastructure foundation with hands-on experience with large language models (LLMs), generative AI, and modern AI application architectures. This person will also serve as an internal advocate for AI adoption, helping technical and non-technical users understand and effectively utilize new AI-powered tools.

Requirements

  • 5+ years of professional experience in software development, cloud infrastructure, platform engineering, MLOps, DevOps, or a related technical field.
  • Strong software development fundamentals with experience building, deploying, and supporting production applications or services.
  • Hands-on experience with at least one major cloud platform such as AWS, Azure, or GCP.
  • Experience with modern software deployment practices, including CI/CD and development, staging, and production environments.
  • Experience developing and maintaining APIs and integrations between applications, cloud platforms, data sources, and third-party services.
  • Hands-on familiarity with modern AI technologies, LLMs, generative AI, and production AI/ML systems.
  • Understanding of application, infrastructure, and data security best practices.
  • Strong written and verbal English communication skills with the ability to explain technical concepts to both technical and non-technical audiences.
  • Resourceful, collaborative, and comfortable working independently in an evolving technical environment.
  • Ability to champion new technologies and work effectively across the organization to support AI adoption.

Preferred Qualifications

  • Experience with AI agents, RAG, vector databases, AI orchestration frameworks, or LLM-powered workflows.
  • Experience with cloud-native and infrastructure technologies such as Docker, Kubernetes, Terraform, or similar tools.
  • Familiarity with Model Context Protocol (MCP) or similar AI integration standards.
  • Experience with technologies such as Anthropic Claude, OpenAI, Google Gemini, Hugging Face, LangChain, LangGraph, or comparable AI platforms and frameworks.
  • Experience customizing, fine-tuning, or deploying private or domain-specific language models.
  • Experience working with sensitive financial, trading, or other regulated data.
  • Familiarity with SOC 2 or similar security, compliance, and data governance frameworks.
  • Full-stack development experience is a plus.
  • Relevant cloud or AI certifications are a plus.
  • 5+ years of professional experience in software development, cloud infrastructure, platform engineering, MLOps, DevOps, or a related technical field.
  • Strong software development fundamentals with experience building, deploying, and supporting production applications or services.
  • Hands-on experience with at least one major cloud platform such as AWS, Azure, or GCP.
  • Experience with modern software deployment practices, including CI/CD and development, staging, and production environments.
  • Experience developing and maintaining APIs and integrations between applications, cloud platforms, data sources, and third-party services.
  • Hands-on familiarity with modern AI technologies, LLMs, generative AI, and production AI/ML systems.
  • Understanding of application, infrastructure, and data security best practices.
  • Strong written and verbal English communication skills with the ability to explain technical concepts to both technical and non-technical audiences.
  • Resourceful, collaborative, and comfortable working independently in an evolving technical environment.
  • Ability to champion new technologies and work effectively across the organization to support AI adoption.

Apply