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Remote Azure Support Engineer Jobs in Wisconsin (NOW HIRING)

Harris

Develop and maintain RESTful APIs to support various applications. * Write clean, scalable, and ... Proven experience as a Software Engineer or similar role. * Proven proficiency in MSSQL and ...

Evans Transportation Services LLC

Data Engineer

Delafield, WI · On-site +1

$109K - $131K/yr

Model and structure data in warehouses and lakehouses to support reporting and analytics use cases ... Familiarity with a major cloud provider, preferably Azure. PREFERRED QUALIFICATIONS AND ...

American Transmission Company

Sr. Data Engineer

Pewaukee, WI · On-site +1

$112K - $134K/yr

However, this role is not available for 100% remote work and would require relocation to either ... Git, Azure DevOps, or similar source control and DevOps platforms. Experience supporting data ...

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Remote Azure Support Engineer information

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 key skills and qualifications needed to thrive as a Remote Azure Support Engineer?

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 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 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:

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Cities in Wisconsin with the most Remote Azure Support Engineer job openings:

Remote Azure Support Engineer jobs near you

Generative AI Automation Engineer - Remote Job

Madison, WI • Remote

EnthuZiastic
E-Learning • 11 - 50 employees
Learn more about EnthuZiasticexternal

Full-time

Re-posted 21 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply