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Remote Cloud Jobs in Michigan (NOW HIRING)

2Bridge Partners

Staff Software Engineer

Detroit, MI · On-site +1

$170K - $200K/yr

Design, develop, and maintain complex software systems using C#, .NET, Azure, AWS, or another cloud ... Open to remote or hybrid if in the Detroit metro or Ann Arbor area.

Centroid Systems, Inc.

OCI Architect

Troy, MI · On-site +1

Requirements: * 10+ years of experience in customer-facing infrastructure or cloud architecture roles * 5+ years of hands-on OCI design and implementation experience Location: 100% Remote Job Type ...

Morley

Art Director (Remote - Michigan)

Kalamazoo, MI · Remote

$114K - $120K/yr

Remote - Michigan residents (minimal travel required) Do you have expertise in digital and print ... Mastery of Adobe Creative Cloud design apps (Photoshop, Illustrator, InDesign, XD, AfterEffects ...

Morley

Art Director (Remote - Michigan)

Kalamazoo, MI · On-site +1

$114K - $120K/yr

Remote - Michigan residents (minimal travel required) Do you have expertise in digital and print ... Mastery of Adobe Creative Cloud design apps (Photoshop, Illustrator, InDesign, XD, AfterEffects ...

Select Minds LLC

Technical Product Owner

Lansing, MI · On-site +1

$70 - $80/hr

Benefits: * REMOTE * Competitive salary * Opportunity for advancement Technical Product Owner ... cloud, or platform products. - Strong experience communicating with and presenting to CTO/VP-level ...

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Remote Cloud information

What is a remote cloud?

Remote cloud jobs are positions where professionals work from any location to manage, develop, or support cloud computing systems. These roles can include cloud engineers, architects, administrators, and support specialists who handle tasks such as deploying cloud infrastructure, maintaining cloud applications, or ensuring cloud security. Remote cloud jobs offer flexibility, allowing employees to collaborate with teams and access resources via the internet. As businesses increasingly migrate to cloud platforms, demand for remote cloud professionals continues to grow.

How does a remote cloud engineer typically collaborate with distributed teams and stakeholders?

As a Remote Cloud Engineer, collaboration with cross-functional teams is primarily facilitated through virtual tools such as video conferencing, shared documentation platforms, and chat applications. You'll regularly coordinate with developers, security specialists, and project managers to design, deploy, and maintain cloud infrastructure. Clear documentation and proactive communication are crucial to ensuring projects stay on track, especially when working across time zones. You'll also participate in code reviews, troubleshooting sessions, and daily stand-up meetings to keep everyone aligned and address any technical challenges promptly.

What are the key skills and qualifications needed to thrive as a remote cloud engineer, and why are they important?

To thrive as a Remote Cloud Engineer, you need expertise in cloud platforms (such as AWS, Azure, or Google Cloud), infrastructure automation, and a solid foundation in networking and security, typically supported by a degree in computer science or related certifications. Familiarity with tools like Terraform, Kubernetes, CI/CD pipelines, and cloud provider consoles is often required. Strong problem-solving, communication, and self-management skills are crucial for effective collaboration and independent work in a remote setting. These skills ensure secure, efficient, and scalable cloud solutions while maintaining productivity and teamwork from afar.

What is the difference between Remote Cloud vs Remote Network Engineer?

AspectRemote CloudRemote Network Engineer
Required CertificationsCloud certifications (AWS, Azure, GCP)Networking certifications (CCNA, CompTIA Network+)
Work EnvironmentCloud platforms, cloud management toolsNetwork infrastructure, routers, switches
Industry UsageCloud service providers, SaaS companiesTelecommunications, enterprise networks
Common Search/ComparisonYesYes

Remote Cloud professionals focus on managing and deploying cloud services using platforms like AWS, Azure, or GCP, while Remote Network Engineers specialize in designing and maintaining network infrastructure. Both roles require technical certifications and are vital in IT, but they serve different aspects of technology infrastructure.

What are the most commonly searched types of Cloud jobs in Michigan?

The most popular types of Cloud jobs in Michigan are:

What are popular job titles related to Remote Cloud jobs in Michigan?

For Remote Cloud jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Remote Cloud jobs in Michigan look for?

The top searched job categories for Remote Cloud jobs in Michigan are:

What cities in Michigan are hiring for Remote Cloud jobs?

Cities in Michigan with the most Remote Cloud job openings:

Remote Cloud jobs near you
Infographic showing various Remote Cloud job openings in Michigan as of August 2026, with employment types broken down into 84% Full Time, 6% Part Time, 2% Temporary, 7% Contract, and 1% Nights. Highlights an 76% Physical, 8% Hybrid, and 16% Remote job distribution.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Grand Rapids, MI • Remote

Full-time

Re-posted 15 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