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Cloud Factory Jobs in Michigan (NOW HIRING)

Develop and implement modern smart factory solutions that connect legacy manufacturing equipment to ... Build and manage cloud-native infrastructure using Infrastructure as Code (IaC) methodologies ...

Develop and implement modern smart factory solutions that connect legacy manufacturing equipment to ... Build and manage cloud-native infrastructure using Infrastructure as Code (IaC) methodologies ...

azure with .Net Consultant

Dearborn, MI · On-site

$53.75 - $73.25/hr

... in Cloud migrations • Good knowledge on Principles and Design patterns like SOA, REST, Singleton, Dependency Injection using Unity & Sprint.Net, IOC, Repository Pattern, Factory and Abstract ...

azure with .Net Consultant

Dearborn, MI · On-site

$53.75 - $73.25/hr

Good to have experience in Cloud migrations Good knowledge on Principles and Design patterns like SOA, REST, Singleton, Dependency Injection using Unity & Sprint.Net, IOC, Repository Pattern, Factory ...

Factory Advisors is unable to provide visa sponsorship for this role. About Us Are you the kind of ... Experience with Cloud, NoSQL Databases, and Microsoft Dataverse. * Experience with enterprise and ...

Google Cloud Platform Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Stefanini is looking for a Google Cloud Platform Data Engineer, Dearborn, MI For quick apply ... AWS Glue, S3, Redshift, and Athena, Azure Data Factory and Databricks, Google BigQuery and ...

Data Factory Engineers will be responsible for designing ingestion patterns and modernization of Fords big data solutions on GCP cloud integrating native GCP services and 3rd party data technologies.

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Cloud Factory information

See Michigan salary details

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How much do cloud factory jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for cloud factory in Michigan is $54.81, according to ZipRecruiter salary data. Most workers in this role earn between $46.73 and $62.45 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Cloud Factory position, and why are they important?

To thrive in a Cloud Factory role, you typically need expertise in cloud computing platforms (such as AWS, Azure, or Google Cloud), infrastructure automation, and systems administration, as well as a relevant degree in computer science or a related field. Familiarity with tools like Terraform, Kubernetes, Docker, and CI/CD pipelines—along with certifications in major cloud technologies—is highly beneficial. Strong problem-solving abilities, effective communication, and collaborative teamwork are critical soft skills in this field. These qualifications are vital for ensuring reliable cloud operations, seamless deployments, and effective collaboration with cross-functional teams in dynamic cloud environments.

Is Cloud Factory a remote company?

Cloud Factory is a company that offers remote work opportunities, allowing employees to work from various locations. Many roles involve collaboration through online tools and require strong communication skills. Remote positions may include tasks related to data annotation, machine learning, and cloud-based workflows.

What is a Cloud Factory?

A Cloud Factory job typically involves managing cloud-based infrastructure and automation processes to support digital transformation. It may include responsibilities like configuring cloud environments, optimizing cloud operations, and ensuring system scalability. Professionals in this role often work with platforms like AWS, Azure, or Google Cloud to deploy and maintain cloud solutions.

What does a Cloud Factory do?

Professionals in a Cloud Factory position are usually responsible for deploying, managing, and optimizing cloud-based environments to support various business applications. Daily tasks often include automating infrastructure provisioning, monitoring system performance, resolving incidents, and collaborating with development and operations teams to ensure smooth workflows. You'll also participate in implementing security best practices and updating documentation to reflect changes in cloud architecture. This role frequently involves balancing multiple priorities and working in a dynamic, fast-evolving technological landscape.

What are popular job titles related to Cloud Factory jobs in Michigan? For Cloud Factory jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Cloud Factory jobs in Michigan look for? The top searched job categories for Cloud Factory jobs in Michigan are:
Infographic showing various Cloud Factory job openings in Michigan as of August 2026, with employment types broken down into 86% Full Time, 4% Part Time, 1% Temporary, and 9% Contract. Highlights an 77% Physical, 8% Hybrid, and 15% Remote job distribution, with an average salary of $114,007 per year, or $54.8 per hour.

Manager, Smart Factory Solutions

Magna

Troy, MI • On-site

$110K/yr

Full-time

Re-posted 5 days ago


Job description

Job descriptions may display in multiple languages based on your language selection.
What we offer:
At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.
Group Summary:
Magna is more than one of the world's largest suppliers in the automotive space. We are a mobility technology company built to innovate, with a global, entrepreneurial-minded team. With 65+ years of expertise, our ecosystem of interconnected products combined with our complete vehicle expertise uniquely positions us to advance mobility in an expanded transportation landscape.
Job Responsibilities:
  • Salary: Starting at $110,000 US & CAD
  • Immediate, Open Position

Magna is looking for Smart Factory Manager who will lead a team responsible for developing software to support digitizing production lines and implementing streaming machine controls.
Your Responsibilities
  • Develop and implement modern smart factory solutions that connect legacy manufacturing equipment to scalable digital infrastructure.
  • Design, deploy, and maintain Industrial IoT (IIoT) applications operating both on-premises and in cloud environments.
  • Build and manage cloud-native infrastructure using Infrastructure as Code (IaC) methodologies, including Terraform.
  • Develop and support AWS-based solutions for leveraging services such as AWS IoT, AWS Lambda, AWS Bedrock, and AgentCore for AI-driven manufacturing and operational use cases.
  • Design and implement AI-enabled workflows, intelligent agents, and automation solutions to improve operational efficiency and decision-making.
  • Manage software deployments, system updates, patches, and release processes across production and development environments.
  • Collaborate with cross-functional teams to brainstorm, architect, and implement innovative Industry 4.0 solutions.
  • Develop KPIs, dashboards, metrics, and monitoring tools to track smart factory and production performance.
  • Provide detailed technical specifications for proposed solutions, including required hardware, software, cloud services, external vendors, and internal resources.
  • Work with source control and CI/CD tools such as Azure DevOps and GitHub.
  • Actively troubleshoot and resolve issues encountered during development, testing, deployment, and production operations.
  • Participate in Agile software development processes, including sprint planning, backlog refinement, and stand-ups using tools such as Jira.
  • Maintain technical documentation, architecture diagrams, operational procedures, and project artifacts using Confluence and related documentation platforms.
  • Perform additional duties as assigned.
  • Act with honesty and integrity and make ethical business choices in accordance with Magna's Compliance Policies and Procedures.

Who we are looking for
  • Strong experience designing and implementing smart factory, Industrial IoT (IIoT), and cloud-connected manufacturing solutions.
  • Experience with Infrastructure as Code (IaC) tools, particularly Terraform.
  • Hands-on experience with Amazon Web Services (AWS), including cloud architecture, deployment, and operational management.
  • Experience developing AI and generative AI solutions using AWS Bedrock and AgentCore.
  • Proficiency in modern programming languages such as Go (Golang), TypeScript, Python, JavaScript, C#, Java, and/or C++.
  • Experience developing scalable APIs, backend services, and distributed applications.
  • Strong understanding of cloud-native architectures, containerization, and microservices principles.
  • Experience with databases and multiple forms of data storage technologies (SQL, NoSQL, time-series, and cloud-native storage platforms).
  • Good understanding of IoT architectures, cybersecurity principles, and communication protocols such as MQTT.
  • Experience with DevOps practices, CI/CD pipelines, source control systems, and automated deployment strategies.
  • Knowledge of Agile and traditional project management methodologies including Agile/Scrum and Waterfall.
  • Experience using Agile collaboration and tracking tools such as Jira.
  • Experience maintaining technical and operational documentation using Confluence or similar platforms.
  • Understanding statistical analysis and manufacturing performance metrics.

Your preferred qualifications
  • Experience with capability studies such as CPK, Gage R, and Gage R&R is considered an asset.

What we offer
At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.
In addition, we offer you the following site benefits:
An overview of our benefits will be discussed during the recruitment process.
Awareness. Unity. Empowerment.
At Magna, we believe that a diverse workforce is critical to our success. That's why we are proud to be an equal opportunity employer. We hire based on experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email to comply with GDPR requirements and your local Data Privacy Law.
Awareness, Unity, Empowerment:
At Magna, we believe that a diverse workforce is critical to our success. That's why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law.
AI-Assisted Screening Disclosure
As part of our commitment to a fair, consistent, and efficient recruitment process, we may use artificial intelligence (AI) tools to assist in the initial screening of applications submitted through our Workday system. These tools help identify qualifications and experience that align with the role requirements. Please note that AI is used solely to support our recruiters. Final decisions are always made by the hiring manager and the hiring team. Importantly, no applicant data is shared externally through these AI tools. All information remains securely within our systems and is handled in accordance with our privacy and data protection policies.
Under conditions defined by applicable law, you may have the right to request an explanation of how AI is used to support decision-making.
If you have any questions or concerns about this process, feel free to contact our Talent Attraction team.
Worker Type:
Regular / Permanent
Group:
Magna Corporate