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Remote Cloud Manager Jobs in Michigan (NOW HIRING)

Deloitte

Epic Denials Manager

Grand Rapids, MI · Remote

This is a remote role with minimal travel requirements. A successful candidate would possess these ... cloud infrastructure. These solutions are powered by engineering for business advantage ...

Deloitte

Epic Denials Manager

Lansing, MI · Remote

This is a remote role with minimal travel requirements. A successful candidate would possess these ... cloud infrastructure. These solutions are powered by engineering for business advantage ...

Deloitte

Epic Denials Manager

Midland, MI · Remote

This is a remote role with minimal travel requirements. A successful candidate would possess these ... cloud infrastructure. These solutions are powered by engineering for business advantage ...

Deloitte

Epic Denials Manager

Detroit, MI · Remote

This is a remote role with minimal travel requirements. A successful candidate would possess these ... cloud infrastructure. These solutions are powered by engineering for business advantage ...

Centroid Systems, Inc.

OCI Architect

Troy, MI · On-site +1

Centroid is Oracle Corporation's top Oracle Cloud Infrastructure (OCI) partner in North America ... No people management responsibilities. As OCI Architect you will be engaging with various customers ...

Ford Motor Company

Senior Software Engineer

Allen Park, MI · Remote

$111K - $147K/yr

... Cloud Platform (GCP)-compute, storage, networking, and IAM. 2+ years of experience authoring and maintaining Infrastructure as Code (IaC) via Terraform modules, including remote state management and ...

Stryker

Salesforce Software Engineer (Remote)

Portage, MI · On-site +1

$133K - $222K/yr

S. commercial organization leverages Salesforce to manage accounts, strengthen customer ... Experience with cloud based or enterprise SaaS software development. * Experience with Oracle CPQ ...

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Remote Cloud Manager information

What is a remote cloud manager?

A Remote Cloud Manager is an IT professional responsible for overseeing and managing an organization's cloud computing resources from a remote location. They ensure the smooth operation, security, and optimization of cloud-based services and infrastructure. Their role often includes monitoring cloud performance, managing access controls, implementing best practices, and troubleshooting issues. Remote Cloud Managers collaborate with various teams to support business needs and maintain compliance with industry standards.

How does a remote cloud manager coordinate with distributed teams to oversee cloud infrastructure projects?

As a Remote Cloud Manager, you will frequently collaborate with cross-functional teams spread across different locations and time zones. Effective coordination typically involves leveraging project management and communication tools like Slack, Jira, or Microsoft Teams to track progress, assign tasks, and facilitate real-time discussions. Regular virtual meetings and clear documentation help ensure alignment on project goals, security protocols, and deployment timelines. Strong organizational and interpersonal skills are essential to overcome remote collaboration challenges and maintain smooth operations.

What are the key skills and qualifications needed to thrive as a remote cloud manager?

To excel as a Remote Cloud Manager, you need expertise in cloud architecture, deployment, and management, often supported by a degree in computer science or IT and relevant cloud certifications. Familiarity with platforms such as AWS, Azure, or Google Cloud, as well as tools like Terraform and Kubernetes, is typically required. Strong communication, leadership, and problem-solving skills help you effectively oversee distributed teams and manage complex projects. These abilities ensure secure, scalable, and efficient cloud operations that align with business objectives in a remote environment.

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

AspectRemote Cloud ManagerCloud Engineer
CredentialsCloud certifications (AWS, Azure, GCP), project management skillsCloud certifications, programming skills, infrastructure knowledge
Work EnvironmentRemote, managerial oversight, strategic planningRemote or on-site, technical implementation, coding
Employer & IndustryTech companies, cloud service providers, enterprisesTech firms, startups, cloud service providers

Remote Cloud Managers focus on overseeing cloud projects, managing teams, and strategic planning, often requiring leadership and project management certifications. Cloud Engineers handle technical implementation, coding, and infrastructure setup, with a strong emphasis on technical skills and certifications. While both roles work in cloud environments, the Remote Cloud Manager is more strategic and managerial, whereas the Cloud Engineer is more technical and hands-on.

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

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

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

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

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Cities in Michigan with the most Remote Cloud Manager job openings:

Remote Cloud Manager jobs near you

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Ann Arbor, MI • Remote

Full-time

Re-posted 18 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