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Azure Infrastructure Engineer Remote Jobs in Irving, TX

Devops Engineer SR

Dallas, TX · On-site +1

$128K - $165K/yr

... maintain and evolve Azure/GCP and Kubernetes infrastructure while partnering directly with ... Remote/Hybrid workplace options, Health Benefits, Unlimited Flexible Time Off, Family Planning ...

AI Lead Engineer (Remote)

Dallas, TX · Remote

$104K - $138K/yr

Cloud Platforms (Azure / AWS / GCP) * AI Model Deployment & Productionization * Security, Privacy & Responsible AI * Problem Solving & Analytical Skills * Agile/Scrum Preferred (Good to Have)

Knowledge of smart infrastructure equipment such as automatic feeder switches, remote sensing ... engineering- Knowledge of overhead systems design and the use of PLS-CADD- Knowledge of ...

Strong hands-on experience in Java, Python, Azure, Azure Databricks, and Microservices architecture ... Deep understanding of modern SDLC, Agile delivery, DevOps, CI/CD, and software engineering best ...

Showing results 21-40

Azure Infrastructure Engineer Remote information

See Irving, TX salary details

$44.7K

$122K

$174.8K

How much do azure infrastructure engineer remote jobs pay per year?

As of Aug 19, 2026, the average yearly pay for azure infrastructure engineer remote in Irving, TX is $122,015.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,200.00 and $135,400.00 per year, depending on experience, location, and employer.

What does an Azure Infrastructure Engineer do when working remotely?

An Azure Infrastructure Engineer working remotely is responsible for designing, implementing, and managing cloud-based infrastructure solutions using Microsoft Azure. Their tasks include configuring virtual networks, deploying virtual machines, managing storage solutions, ensuring security compliance, and troubleshooting issues. They collaborate with development and IT teams to optimize cloud environments, automate deployments, and maintain system reliability and performance—all while working from a remote location. Effective communication and strong problem-solving skills are essential for success in this role.

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

To thrive as an Azure Infrastructure Engineer, you need expertise in cloud architecture, networking, virtualization, and strong knowledge of Microsoft Azure services, typically supported by a bachelor's degree in IT or related field. Familiarity with tools like Azure Resource Manager, PowerShell scripting, Azure DevOps, and certifications such as Microsoft Certified: Azure Administrator Associate are often required. Strong problem-solving skills, effective communication, and the ability to work independently are vital soft skills for this remote role. These skills are crucial for designing, deploying, and maintaining secure, scalable cloud solutions while collaborating efficiently across distributed teams.

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

Azure Infrastructure Engineers working remotely often face challenges such as coordinating effectively with geographically dispersed teams, managing secure access to cloud resources, and staying updated with the rapidly evolving Azure platform. To address these issues, it's important to leverage collaboration tools like Microsoft Teams, establish clear communication channels, and follow best practices for cloud security and access management. Regularly participating in virtual training and knowledge-sharing sessions can also help engineers remain current and connected with their peers.

What is the difference between Azure Infrastructure Engineer Remote vs Azure Cloud Administrator?

AspectAzure Infrastructure Engineer RemoteAzure Cloud Administrator
CertificationsAzure Solutions Architect, AZ-104, AZ-700AZ-104, AZ-103, Azure Administrator Associate
Work EnvironmentRemote, cloud-focused infrastructure setup and managementRemote or on-site, managing Azure cloud resources and services
Job ResponsibilitiesDesigning, deploying, and maintaining Azure infrastructureManaging and monitoring Azure cloud environments, user access, and security

The Azure Infrastructure Engineer Remote and Azure Cloud Administrator roles share certifications and work environments but differ mainly in scope. The engineer focuses on designing and deploying infrastructure, while the administrator manages day-to-day cloud operations. Both roles are essential in cloud-based organizations and often overlap in skills and tools used.

What are the most commonly searched types of Azure Infrastructure Engineer jobs in Irving, TX?

The most popular types of Azure Infrastructure Engineer jobs in Irving, TX are:

What are popular job titles related to Azure Infrastructure Engineer Remote jobs in Irving, TX?

For Azure Infrastructure Engineer Remote jobs in Irving, TX, the most frequently searched job titles are:

What job categories do people searching Azure Infrastructure Engineer Remote jobs in Irving, TX look for?

The top searched job categories for Azure Infrastructure Engineer Remote jobs in Irving, TX are:

What cities near Irving, TX are hiring for Azure Infrastructure Engineer Remote jobs?

Cities near Irving, TX with the most Azure Infrastructure Engineer Remote job openings:

AI Platform Engineer - Remote / Telecommute

CYNET SYSTEMS

Dallas, TX • Remote

$56/hr

Contractor

Re-posted 19 days ago


Job description

Job Overview:

Requirement/Must Have:

  • Bachelor's degree in Computer Science, Engineering, or related field; equivalent experience considered.
  • 5+ years of cloud platform engineering experience, with 2+ years focused on Azure (or comparable hyperscaler).
  • Hands-on experience with infrastructure-as-code (Terraform/Bicep), CI/CD pipelines (Azure DevOps, GitHub Actions), and policy-as-code frameworks.
  • Working knowledge of AI/ML platform services — Azure OpenAI, AI Foundry, vector databases, model gateways, or equivalent.
  • Experience implementing technical controls for regulated data environments (HIPAA, PCI, or similar).
  • Strong understanding of identity, networking, encryption, and secrets management patterns in the cloud.

Responsibilities:

  • Convert approved AI reference architectures into deployable cloud configurations across Azure, MuleSoft, and Salesforce Agentforce, using infrastructure-as-code (Terraform, Bicep, ARM) and CI/CD pipelines.
  • Build and maintain reusable platform components, modules, and landing zones that accelerate AI solution delivery across product teams.
  • Configure and operate core AI platform services (e.g., Azure OpenAI, Azure AI Foundry, AI Search, MuleSoft integration layers, Salesforce Agentforce agents, Antrhopic, OpenAI) in alignment with enterprise architecture standards.
  • Implement environment promotion patterns (dev → test → prod), secrets management, and observability tooling for AI workloads.
  • Translate AI governance policies (risk tiering, model approval, PHI/PII handling, audit logging) into enforceable technical controls — policy-as-code, Azure Policy, RBAC, network isolation, and data egress restrictions.
  • Implement controls that enforce HIPAA, CMS, and internal compliance requirements for AI solutions, including Zero Data Retention configurations, audit log integration, and prompt/response logging where required.
  • Partner with the AI Governance Lead and Coordinator to ensure platform configurations match documented governance posture and are audit-ready.
  • Configure model gateways, content safety filters, bias/PII safeguards, and usage telemetry to support responsible AI operations at scale.
  • Deliver paved-path templates, starter kits, and self-service capabilities that allow product and engineering teams to build AI solutions safely without recreating platform components.
  • Provide technical support, documentation, and office hours to development teams consuming the AI platform.
  • Collaborate with Consultant Product Owners and platform architects to translate solution requirements into platform capabilities and backlog items.
  • Monitor platform health, capacity, cost, and consumption; implement automation to optimize spend and performance.
  • Support incident response, root-cause analysis, and continuous improvement of platform reliability and security posture.
  • Maintain platform documentation, runbooks, and architectural decision records.

Nice to Have:

  • Platform familiarity across Azure, MuleSoft, and Salesforce Agentforce — ability to configure, integrate, and govern AI workloads spanning all three platforms.
  • Experience operating AI or data platforms in a healthcare payer or other regulated industry.
  • Familiarity with AI governance frameworks (NIST AI RMF, ISO 42001) and translating policy into technical enforcement.
  • Experience with document intelligence, RAG architectures, or agentic AI patterns.
  • Azure certifications (AZ-305, AZ-400, AI-102), MuleSoft Certified Developer/Architect, or Salesforce Agentforce/Platform credentials a plus.

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading staffing and recruiting powerhouse. Proudly recognized as a nationally and locally certified diversity firm, Cynet delivers agile, scalable talent solutions across industries. With an active footprint in all 50 U.S. states and Canada, we support thousands of consultants through our expansive, high-performing recruitment engine operating across North America and Asia—ensuring speed, quality, and consistency in every hire.

Cynet Systems logo

About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

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