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Remote Azure Support Engineer Jobs in Wisconsin (NOW HIRING)

Qualysoft

Hybrid - ca. 50 % vor Ort in Wien, ca. 50 % remote Projektsprache: Deutsch und Englisch Aufgaben: ... support parts of the hiring process, such as reviewing applications, analyzing resumes, or ...

Qualysoft

... auf Azure Databricks von der Datenaufbereitung uber Feature Engineering bis hin zu MLOps ... Hybrid - ca. 50 % vor Ort in Wien, ca. 50 % remote Projektsprache: Deutsch und Englisch Aufgaben: ...

KEYENCE

Field Application Engineer

Wauwatosa, WI · On-site +1

$54K - $81K/yr

Join KEYENCE as a Field Application Engineer Training Classes Begin July 2026 Multiple U.S ... Provide on-call, on-site and remote technical support, training, and troubleshooting * Travel ...

Intuit

Staff Software Engineer

Madison, WI · Remote

$202K - $274K/yr

... Azure) . * Implement CI/CD pipelines to support automated testing and deployments. * Use ... California Remote (Bay Area) $202,500- $274,000 California Remote (Not Bay Area) $188,500- $255,000 ...

Motorola

$75K - $85K/yr

We deploy and support products such as Emergency Call Handling, 911 Equipment, Computer Aided ... Remote positions and candidates can be located anywhere in the US. There will be in excess of 75 ...

Crystora Dynamics Limited

Software Engineer

Milwaukee, WI · On-site +1

... AWS, Azure, Google Cloud) and containerization (Docker, Kubernetes). - Knowledge of database ... Work-Life Balance: - Flexible remote work environment tailored to support productivity and personal ...

EnsoData

Implementation Engineer

Madison, WI · On-site +1

$80K - $85K/yr

In short: we're looking to connect with Implementation Engineers (hybrid or remote) who are ... Requirements * 1-5 years of experience in customer support as a technical problem solver, customer ...

NV5

Remote Sensing Technician

Sheboygan Falls, WI · On-site +1

... Developers, IT, Project Management Professionals, and more. At NV5 Geospatial, we are a ... Troubleshoot and install sensor systems with support. * Comply with all policies and procedures ...

Progress

DevOps Engineer II

Madison, WI · On-site +1

$83K - $97K/yr

... support. You will also diagnose, maintain, and enhance application code in a Windows-based .NET ... Design and implement Infrastructure as Code solutions for Azure. * Build and maintain CI/CD ...

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All JobsAzure Support Engineer JobsRemote Azure Support Engineer JobsRemote Azure Support Engineer Jobs in Wisconsin

Remote Azure Support Engineer information

What is the difference between Remote Azure Support Engineer vs Remote Cloud Support Engineer?

AspectRemote Azure Support EngineerRemote Cloud Support Engineer
CertificationsAzure Certifications (e.g., AZ-104, AZ-303)Cloud certifications (e.g., AWS, Azure, Google Cloud)
Work EnvironmentRemote, supporting Azure cloud servicesRemote, supporting multiple cloud platforms
Industry UsagePrimarily in organizations using Microsoft AzureIn organizations using various cloud providers
Job FocusAzure-specific support and troubleshootingSupport across multiple cloud environments

The Remote Azure Support Engineer specializes in supporting Microsoft Azure services, requiring Azure-specific certifications and knowledge. In contrast, the Remote Cloud Support Engineer offers support across various cloud platforms, including Azure, AWS, and Google Cloud. Both roles are remote and involve troubleshooting cloud issues, but the Azure Support Engineer focuses solely on Azure environments, making it ideal for organizations heavily invested in Microsoft cloud solutions.

What are some common challenges faced by Remote Azure Support Engineers and how can they be managed effectively?

Remote Azure Support Engineers often encounter challenges such as troubleshooting complex cloud environments without physical access to client infrastructure, managing multiple high-priority tickets simultaneously, and keeping up with frequent Azure updates. Effective communication skills and a structured approach to problem-solving are essential, as much of the support work involves collaborating with customers and internal teams through virtual channels. Staying current with Azure documentation and actively participating in knowledge-sharing within the team can help engineers resolve issues efficiently and stay ahead of technological changes.

What are the key skills and qualifications needed to thrive as a Remote Azure Support Engineer, and why are they important?

To thrive as a Remote Azure Support Engineer, you need a strong understanding of Microsoft Azure services, cloud computing concepts, and troubleshooting methodologies, typically backed by a degree in computer science or a related field. Familiarity with tools like Azure Portal, PowerShell, Azure CLI, and certifications such as Microsoft Certified: Azure Administrator Associate are highly valuable. Excellent problem-solving abilities, communication skills, and a customer-focused mindset help you resolve issues efficiently and provide high-quality support remotely. These skills and qualifications are vital to ensuring system reliability, resolving technical challenges quickly, and maintaining customer satisfaction in a dynamic cloud environment.

What is a Remote Azure Support Engineer?

A Remote Azure Support Engineer is an IT professional who provides technical assistance and troubleshooting for Microsoft Azure cloud services, working from a remote location. They help customers resolve issues related to Azure infrastructure, networking, security, and application deployment. These engineers typically communicate with clients via email, chat, or phone to diagnose and solve problems, implement solutions, and ensure optimal use of Azure services. In addition, they may provide guidance on best practices, monitor system performance, and escalate complex issues as needed.
What are the most commonly searched types of Azure Support Engineer jobs in Wisconsin? The most popular types of Azure Support Engineer jobs in Wisconsin are:
What are popular job titles related to Remote Azure Support Engineer jobs in Wisconsin? For Remote Azure Support Engineer jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Remote Azure Support Engineer jobs in Wisconsin look for? The top searched job categories for Remote Azure Support Engineer jobs in Wisconsin are:
What cities in Wisconsin are hiring for Remote Azure Support Engineer jobs? Cities in Wisconsin with the most Remote Azure Support Engineer job openings:
Remote Azure Support Engineer jobs near you

Azure AI / ML Engineer (m/w/d)

Qualysoft

On-site, Remote

Contractor

Re-posted 6 days ago

Job description

Fur ein langfristig angelegtes IT- und KI-Programm wird ein Azure AI / ML Engineer (m/w/d) gesucht. Ziel ist die Konzeption, Entwicklung, Implementierung und der Betrieb moderner KI-Losungen mit Schwerpunkt auf Large Language Models, Conversational AI, Multi-Agenten-Systemen sowie dem produktiven Einsatz skalierbarer Microsoft-Azure-Architekturen.Der Azure AI / ML Engineer unterstutzt Fachbereiche und IT-Teams bei der Umsetzung innovativer KI-Anwendungen und begleitet diese von der Anforderungsaufnahme bis zum produktiven Betrieb und Wissenstransfer.


520 - 560 a day
Rahmenbedingungen
Start: Marz/April 2026
Laufzeit: 3 Jahre (optional verlangerbar bis max. 5 Jahre)
Auslastung: 100 %
Arbeitsmodell: Hybrid - ca. 50 % vor Ort in Wien, ca. 50 % remote
Projektsprache: Deutsch und Englisch

Aufgaben:
Konzeption, Entwicklung und Implementierung von LLM-basierten Conversational-AI-Losungen (z. B. RAG-Applikationen) in Microsoft Azure
Aufbau, Orchestrierung und Weiterentwicklung von AI-Agenten und Multi-Agenten-Systemen
Einsatz und Integration von Model Context Protocols (MCPs)
Aufnahme, Analyse und Strukturierung fachlicher Anforderungen in enger Abstimmung mit den betroffenen Fachbereichen
Agile Umsetzung der Losungen sowie kontinuierliche Weiterentwicklung im Austausch mit den Fachbereichen
Anbindung, Integration und Harmonisierung relevanter interner und externer Datenquellen
Rollout und nutzergerechte Bereitstellung der Losungen im operativen Betrieb
Ubergabe der Losungen an interne Teams inklusive Upskilling und Befahigung der Anwender
Sicherstellung von Skalierbarkeit, Sicherheit, Wartbarkeit und stabilem Betrieb der AI-Losungen

Anforderungen:
Tiefgreifendes Verstandnis und praktische Erfahrung mit Large Language Models und Conversational-AI-Losungen (z. B. RAG) in Azure
Erfahrung in der Konzeption, Entwicklung und Implementierung von AI-Agenten / Multi-Agenten-Systemen
Erfahrung im Einsatz von Model Context Protocols (MCPs)
Erfahrung im Anforderungsmanagement und in der Zusammenarbeit mit Fachbereichen
Erfahrung in der agilen Umsetzung und Weiterentwicklung technischer Losungen
Erfahrung in der Integration und Harmonisierung von Datenquellen
Erfahrung im Rollout und Betrieb produktiver Anwendungen
Erfahrung in der Ubergabe von Losungen, Dokumentation sowie Befahigung von Anwendern
Sehr gute Kenntnisse in Microsoft Azure, insbesondere:
Microsoft Foundry, Azure Cognitive Services, Azure Machine Learning
Erfahrung in der Entwicklung robuster und skalierbarer Anwendungen mit C# / .NET sowie Python
Erfahrung mit DevOps-Prinzipien und CI/CD-Pipelines
Praktische Erfahrung mit Docker und Azure Kubernetes Service (AKS)
Erfahrung mit Infrastructure as Code
Hohe Lernbereitschaft und Interesse an neuen Entwicklungen im Bereich Kunstliche Intelligenz

PLUS:
Kenntnisse in Confluence und JIRA
Erfahrung mit Azure API Management, Monitoring & Logging (Azure Monitor, Log Analytics) sowie Data Governance (Microsoft Purview)
Branchenkenntnisse in der Energieindustrie oder im offentlichen Sektor
Strukturierte und eigenverantwortliche Arbeitsweise
Hohe Kommunikationsfahigkeit gegenuber technischen und fachlichen Stakeholdern
Teamfahigkeit sowie ausgepragtes Qualitatsbewusstsein
Interessiert?
Bitte senden Sie uns Ihren aktuellen Lebenslauf inklusive Ihrer Verfugbarkeit sowie Ihrer Stundensatzvorstellung.
Wir freuen uns auf Ihre Ruckmeldung.
Sie konnen mich gerne per E-Mail unter elena.kahraman@qualysoft.com oder uber LinkedIn kontaktieren.
Vielen Dank fur Ihr Verstandnis!
+43 699 14402417

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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