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Remote Azure Support Engineer Jobs in Wisconsin (NOW HIRING)

MLG Capital

Senior AI Engineer

Brookfield, WI · Remote

$97.90K - $134.50K/yr

... a secure, governed, Azure-hosted AI platform layer-supporting LLM/RAG and agentic patterns ... Partner with Data Engineering to ensure centralized, AI-ready data foundations in the Microsoft ...

Qualysoft

Linux, Windows, VMware) Erfahrung mit Cloud-Umgebungen (AWS, Azure, OpenShift) und hybriden ... Flexible Remote-Arbeitsmoglichkeit mit klaren Abstimmungsprozessen Gestaltungsspielraum bei ...

Zywave

Senior DevSecOps Engineer

WI · On-site +1

Develop and support Zywave's internal monitoring platform, aggregating data from multiple ... Familiarity with SSO/SCIM integrations via Azure Entra ID. Why Work at Zywave? Zywave empowers ...

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Remote Azure Support Engineer information

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 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 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 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 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
Futuremindz llc: Sr. Data Scientist (Part-Time, Remote)

Futuremindz llc: Sr. Data Scientist (Part-Time, Remote)

CloudDevs

Wausau, WI • Remote

Part-time

Posted 27 days ago

Job description

LocationAnywhere, LatamsHeadquarters: TexasJob Title: Sr. Data Scientist (Part-Time, Remote) Experience: 8-12 years Work Type: Part-Time (Remote) Employment Type: W2 only (No OPT / CPT) Note: H-1B candidates are also welcome to apply. About the Role We're looking for a senior Data Scientist with strong practical experience who can take ownership of solving complex data challenges.

This is a remote part-time role designed for experienced professionals who prefer flexible hours. Key Responsibilities • Build and refine machine-learning models and statistical approaches for business use-cases. • Work with large data sets to generate insights and actionable recommendations.

• Partner with product and engineering teams to integrate models into business processes. • Create dashboards, reports, and visualizations for decision-makers. • Review and optimize existing models for performance and accuracy.

• Maintain high standards for data quality and security. Required Skills • 9-12 years of experience in data science and applied machine learning. • Proficiency in Python, R, SQL, and one or more cloud platforms (AWS, GCP, or Azure).

• Strong grasp of data modeling, feature engineering, and deployment practices. • Experience with big-data tools (Spark, Hadoop, or similar). • Knowledge of visualization tools such as Tableau or Power BI.

• Excellent problem-solving and communication skills. If u are interested to Phone: #J-18808-Ljbffr

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