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Cloud Computing Jobs in Michigan (NOW HIRING)

Worky

Software Engineer

Auburn Hills, MI · On-site

$70 - $100/hr

Description Support the development and deployment of next-generation software solutions in the areas of Generative AI, Physical AI, Cloud Computing, and Embedded Systems. The position will ...

New

FastTek

Back-end Software Development Engineer

Dearborn, MI · On-site

$46.50 - $60.25/hr

GCP, GCP Cloud Run, Cloud Computing, GitHub, SPRING, Spring Boot, Java, Kotlin * GCP - Experience building, deploying, and supporting backend applications on Google Cloud Platform, including use of ...

Otava, LLC

Network Administrator

Ann Arbor, MI · On-site

$75/hr

... cloud computing (IaaS or PaaS) platforms • 3 + years of experience with enterprise network environments • Experience with Cisco IOS and/or Fort iOS/Clavister OS • Hands-on experience with cloud ...

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Cloud Computing information

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How much do cloud computing jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for cloud computing in Michigan is $53.79, according to ZipRecruiter salary data. Most workers in this role earn between $47.16 and $64.52 per hour, depending on experience, location, and employer.

What is cloud computing?

Cloud computing is the process of using remote resources to complete tasks that you would normally do on a local computer or server. This includes data storage, analytics, database management, software hosting, and many other services. The primary advantage of cloud computing is its ability to scale as customers need it. Most cloud computing takes place in large data centers, each of which has tens of thousands of servers for people to access. With cloud computing, it is possible to add and remove servers to a system as needed to handle the workload, thus freeing the user from needing to buy and maintain each of them separately. You can do cloud computing through private machines that run nothing else, but many operations use shared machines to help distribute the load more effectively.

What is cloud computing?

Cloud computing is the delivery of computing services such as servers, storage, databases, networking, software, analytics, and intelligence over the internet ('the cloud'). Instead of owning and maintaining physical data centers or servers, organizations can access these resources on-demand from cloud providers like Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform. This approach allows for greater flexibility, scalability, and cost efficiency, as users only pay for the resources they use. Cloud computing also enables easier collaboration, backup, and disaster recovery.

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

To thrive in Cloud Computing, you need a strong understanding of networking, virtualization, cloud architecture, and security, often backed by a relevant degree or cloud certifications. Familiarity with platforms like AWS, Azure, or Google Cloud, as well as tools such as Docker and Kubernetes, is typically required. Problem-solving, adaptability, and effective communication are crucial soft skills for managing cloud-based projects and collaborating with teams. These competencies ensure the efficient design, deployment, and maintenance of scalable and secure cloud solutions in a rapidly evolving technology landscape.

What are some typical challenges faced by professionals working in cloud computing roles?

Professionals in cloud computing often navigate challenges such as ensuring data security and compliance, managing costs associated with cloud resources, and keeping up with rapidly evolving technologies. Collaborating effectively with cross-functional teams, such as developers, security analysts, and business stakeholders, is also crucial to successfully deploying and maintaining cloud solutions. Additionally, adapting to different cloud platforms (like AWS, Azure, or Google Cloud) and their unique services can require continuous learning and flexibility.

What is the difference between Cloud Computing vs Cloud Engineer?

AspectCloud ComputingCloud Engineer
Primary FocusUtilizing cloud services and solutionsDesigning, building, and maintaining cloud infrastructure
Required SkillsKnowledge of cloud platforms, basic scripting, understanding of cloud servicesCloud platform expertise, scripting, infrastructure as code, networking
Work EnvironmentCloud service providers, enterprise IT teamsCloud development teams, IT departments, consulting firms
CertificationsAWS, Azure, Google Cloud certificationsAWS Certified Solutions Architect, Azure Solutions Architect, similar certifications

Cloud Computing refers to the use of cloud services and platforms to deliver computing resources, while a Cloud Engineer is a professional who designs, implements, and manages cloud infrastructure. The roles are interconnected, with Cloud Engineers applying their skills to enable effective cloud computing solutions for organizations.

Is cloud computing a good career?

Cloud computing is a growing field with high demand for professionals skilled in platforms like AWS, Azure, and Google Cloud. It offers opportunities in roles such as cloud engineer, architect, and administrator, often requiring certifications and knowledge of networking, security, and scripting. The field provides competitive salaries and continuous learning opportunities due to rapid technological advancements.

What are cloud computing jobs?

Cloud computing jobs involve managing, deploying, and maintaining cloud-based infrastructure and services, such as servers, storage, and networks. Roles include cloud engineers, architects, and administrators who often work with platforms like AWS, Azure, or Google Cloud and require skills in scripting, security, and virtualization.
More about Cloud Computing jobs

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

The most popular types of Cloud Computing jobs in Michigan are:

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

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

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

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

What cities in Michigan are hiring for Cloud Computing jobs?

Cities in Michigan with the most Cloud Computing job openings:

Cloud Computing jobs near you
Infographic showing various Cloud Computing 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, with an average salary of $111,882 per year, or $53.8 per hour.

Software Engineer

Worky

Auburn Hills, MI • On-site

$70 - $100/hr

Other

Posted 3 days ago

New

Job description

Description

Support the development and deployment of next-generation software solutions in the areas of Generative AI, Physical AI, Cloud Computing, and Embedded Systems. The position will contribute to the design, implementation, testing, and integration of software products while collaborating with multidisciplinary engineering teams. The engineer is expected to continuously develop technical skills and actively participate in innovation initiatives supporting automotive and intelligent mobility applications.

  • Develop software applications and services using modern programming languages and development frameworks.
  • Support the development and deployment of Generative AI solutions, including AI assistants, intelligent automation tools, and machine learning applications.
  • Contribute to Physical AI projects involving robotics, autonomous systems, digital twins, simulation environments, and sensor-based applications.
  • Develop and maintain cloud-native applications and services on platforms such as Microsoft Azure, AWS, or Google Cloud.
  • Support embedded software development activities for automotive and edge-computing systems when required.
  • Participate in software architecture design, coding, unit testing, debugging, and validation activities.
  • Collaborate with systems, software, data, and hardware engineers to deliver integrated solutions.
  • Develop APIs, data processing pipelines, and software tools to support engineering projects.
  • Participate in code reviews and ensure compliance with software quality standards.
  • Document software designs, technical solutions, and development activities.
  • Stay current with emerging technologies in AI, cloud computing, and software engineering.

Requirements

  • Bachelor's or Master's degree in Computer Engineering, Software Engineering, Computer Science, Electrical Engineering, or a related technical field.
  • 0-3 years of software development experience.
  • Academic, internship, capstone project, or personal project experience in software development is acceptable.
  • Experience in one or more programming languages such as Python, C++, C#, Java, or JavaScript.
  • Exposure to embedded software development, Linux, RTOS, or automotive software development is considered an advantage.
  • Strong analytical, problem-solving, and communication skills.
  • Self-motivated with a willingness to learn new technologies and work in fast-paced engineering environments.
  • Solid understanding of software engineering fundamentals, algorithms, and object-oriented programming.
  • Knowledge of AI/ML concepts and interest in Generative AI technologies.
  • Familiarity with cloud platforms (Azure preferred).
  • Understanding of software development lifecycle and Agile methodologies.
  • Experience with Git or similar version control tools.
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