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Cloud Infrastructure Engineer Jobs in Michigan (NOW HIRING)

Infrastructure Engineer - Cloud

Midland, MI · On-site

$92K - $121K/yr

... Infrastructure (T&I) team. We are insatiably curious and life-long learners focused on technology ... The Cloud Engineer will work within Deloitte Cloud Framework to implement security controls and ...

Infrastructure Engineer - Cloud

Detroit, MI · On-site

$106K - $139K/yr

... Infrastructure (T&I) team. We are insatiably curious and life-long learners focused on technology ... The Cloud Engineer will work within Deloitte Cloud Framework to implement security controls and ...

Infrastructure Engineer - Cloud

Grand Rapids, MI · On-site

$103K - $135K/yr

... Infrastructure (T&I) team. We are insatiably curious and life-long learners focused on technology ... The Cloud Engineer will work within Deloitte Cloud Framework to implement security controls and ...

Infrastructure Engineer I

Lansing, MI · On-site

$109K - $143K/yr

Infrastructure Engineers deploy the release of new technologies as well as design, install ... Understanding of network security-based tools available within in multi-cloud infrastructure.

Infrastructure Engineer I

Lansing, MI

$109K - $143K/yr

Infrastructure Engineers deploy the release of new technologies as well as design, install ... Understanding of network security-based tools available within in multi-cloud infrastructure.

Infrastructure Engineer I

Lansing, MI · On-site

$109K - $143K/yr

Infrastructure Engineers deploy the release of new technologies as well as design, install ... Understanding of network security-based tools available within in multi-cloud infrastructure.

Infrastructure Engineer I

Lansing, MI · On-site

$109K - $143K/yr

Infrastructure Engineers deploy the release of new technologies as well as design, install ... Understanding of network security-based tools available within in multi-cloud infrastructure.

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Showing results 1-20

Cloud Infrastructure Engineer information

See Michigan salary details

$40.5K

$110.8K

$158.6K

How much do cloud infrastructure engineer jobs pay per year?

As of Aug 1, 2026, the average yearly pay for cloud infrastructure engineer in Michigan is $110,750.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,700.00 and $122,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Cloud Infrastructure Engineer, and why are they important?

A Cloud Infrastructure Engineer needs a solid background in computer science or IT, with expertise in cloud platforms (such as AWS, Azure, or Google Cloud) and knowledge of networking, virtualization, and security principles. Familiarity with infrastructure-as-code tools (like Terraform or CloudFormation), containerization technologies (Docker, Kubernetes), and relevant certifications (e.g., AWS Certified Solutions Architect) is typically required. Strong problem-solving skills, effective communication, and adaptability are valuable soft skills for excelling in this role. These skills ensure reliable, scalable, and secure cloud environments that align with organizational goals and evolving technology landscapes.

What is the difference between Cloud Infrastructure Engineer vs Cloud Systems Administrator?

AspectCloud Infrastructure EngineerCloud Systems Administrator
CertificationsAWS, Azure, GCP certifications, Cisco, CompTIA Cloud+AWS, Azure, GCP certifications, CompTIA Linux+, Microsoft Certified: Windows Server
Work EnvironmentDesigning, deploying, and managing cloud infrastructure solutionsMaintaining, monitoring, and supporting cloud systems and services
Employer & Industry UsageTech companies, cloud service providers, enterprises adopting cloudOrganizations with cloud infrastructure, managed service providers

While both roles work within cloud environments, Cloud Infrastructure Engineers focus on designing and building cloud solutions, whereas Cloud Systems Administrators handle the ongoing management and support of those systems. Both roles often collaborate but serve different stages of cloud infrastructure lifecycle.

What does a Cloud Infrastructure Engineer do?

A Cloud Infrastructure Engineer is responsible for designing, implementing, and managing an organization's cloud computing systems and infrastructure. They work with cloud platforms like AWS, Azure, or Google Cloud to ensure secure, scalable, and reliable cloud environments. Their duties include deploying cloud resources, automating processes, monitoring system performance, and troubleshooting issues. They also collaborate with development and IT teams to support business needs and optimize cloud usage.

What are some common challenges faced by Cloud Infrastructure Engineers when migrating on-premises systems to the cloud?

Cloud Infrastructure Engineers often encounter challenges such as ensuring minimal downtime during migration, aligning legacy applications with cloud-compatible architectures, and addressing security or compliance requirements. Coordinating with cross-functional teams, such as security and network specialists, is crucial to anticipate and resolve integration issues. Planning, thorough testing, and clear communication with stakeholders help facilitate a smooth transition and optimize cloud resource utilization.
What are the most commonly searched types of Cloud Infrastructure Engineer jobs in Michigan? The most popular types of Cloud Infrastructure Engineer jobs in Michigan are:
What are popular job titles related to Cloud Infrastructure Engineer jobs in Michigan? For Cloud Infrastructure Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Cloud Infrastructure Engineer jobs in Michigan look for? The top searched job categories for Cloud Infrastructure Engineer jobs in Michigan are:
What cities in Michigan are hiring for Cloud Infrastructure Engineer jobs? Cities in Michigan with the most Cloud Infrastructure Engineer job openings:
Infographic showing various Cloud Infrastructure Engineer job openings in Michigan as of July 2026, with employment types broken down into 100% Full Time. Highlights an 69% In-person, 20% Hybrid, and 11% Remote job distribution, with an average salary of $110,750 per year, or $53.2 per hour.

Azure/Databricks Infrastructure Engineer

Deloitte

Detroit, MI

$55.25 - $73.75/hr

Other

Re-posted 7 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 91 frontline employees who took The Breakroom Quiz

57th of 150 rated financial services


Job description

Join Deloitte's AI & Engineering practice and help organizations modernize enterprise cloud and data platforms on Azure. As an Azure/Databricks Infrastructure Engineer, you will design, implement, and optimize secure, scalable Azure and Databricks environments that support analytics, AI, and enterprise data transformation. This role combines cloud infrastructure engineering, platform delivery, and architecture execution to help clients accelerate modernization and improve operational performance.

This role supports enterprise clients across cloud modernization, data platform transformation, analytics enablement, and operational optimization initiatives.

Recruiting for this role ends on 08/7/2026.

Work You'll Do

As an Azure/Databricks Infrastructure Engineer III on the AI & Engineering team, you will be responsible for...

  • Designing, building, and supporting Azure cloud infrastructure and Databricks platform environments for enterprise clients
  • Implementing Azure landing zones, networking, security controls, and scalable cloud architecture solutions across development, test, and production environments
  • Configuring and administering Databricks workspaces, clusters, Unity Catalog, governance capabilities, and platform security controls
  • Developing infrastructure as code solutions using Terraform, Bicep, and ARM templates, and automating deployments through Azure DevOps or GitHub Actions
  • Supporting cloud modernization, analytics, AI, and enterprise data transformation initiatives through architecture reviews, technical workshops, and delivery collaboration
  • Participate in architecture reviews, technical workshops, client discussions, and operational planning sessions
The Team

Our AI & Engineering practice delivers enterprise solutions across cloud infrastructure, data platforms, analytics, AI enablement, and digital transformation initiatives. We help organizations modernize legacy environments, optimize cloud operations, and scale secure, intelligent platforms that drive business value.
In this role, you will work at the intersection of cloud infrastructure, platform engineering, analytics modernization, DevOps automation, and enterprise data transformation.

Qualifications

Required:
Bachelor's degree in Computer Science, Engineering, Information Systems, Analytics, or related field
4+ years of experience in Azure cloud infrastructure, platform engineering, or enterprise transformation delivery
Strong hands-on experience with Azure networking, Landing Zones, cloud architecture, and infrastructure deployment
Experience administering and supporting Databricks environments including Unity Catalog, governance, and cluster management
Experience implementing Infrastructure as Code (Terraform, Bicep, ARM)
Experience developing and supporting CI/CD pipelines using Azure DevOps or GitHub Actions
Strong understanding of cloud security, networking, governance, and enterprise platform operations
Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
Limited immigration sponsorship may be available.
Preferred:
Experience supporting enterprise analytics, ETL, Snowflake, or modern data engineering ecosystems
Experience supporting AI/ML or advanced analytics infrastructure environments
Azure and/or Databricks certifications preferred
Experience working across hybrid cloud or enterprise modernization initiatives
Consulting experience supporting large-scale transformation programs

Wages + Salary

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $116,200 to $229,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Join Deloitte's AI & Engineering practice and help organizations modernize enterprise cloud and data platforms on Azure. As an Azure/Databricks Infrastructure Engineer, you will design, implement, and optimize secure, scalable Azure and Databricks environments that support analytics, AI, and enterprise data transformation. This role combines cloud infrastructure engineering, platform delivery, and architecture execution to help clients accelerate modernization and improve operational performance.

This role supports enterprise clients across cloud modernization, data platform transformation, analytics enablement, and operational optimization initiatives.

Recruiting for this role ends on 08/7/2026.

Work You'll Do

As an Azure/Databricks Infrastructure Engineer III on the AI & Engineering team, you will be responsible for...

  • Designing, building, and supporting Azure cloud infrastructure and Databricks platform environments for enterprise clients
  • Implementing Azure landing zones, networking, security controls, and scalable cloud architecture solutions across development, test, and production environments
  • Configuring and administering Databricks workspaces, clusters, Unity Catalog, governance capabilities, and platform security controls
  • Developing infrastructure as code solutions using Terraform, Bicep, and ARM templates, and automating deployments through Azure DevOps or GitHub Actions
  • Supporting cloud modernization, analytics, AI, and enterprise data transformation initiatives through architecture reviews, technical workshops, and delivery collaboration
  • Participate in architecture reviews, technical workshops, client discussions, and operational planning sessions
The Team

Our AI & Engineering practice delivers enterprise solutions across cloud infrastructure, data platforms, analytics, AI enablement, and digital transformation initiatives. We help organizations modernize legacy environments, optimize cloud operations, and scale secure, intelligent platforms that drive business value.
In this role, you will work at the intersection of cloud infrastructure, platform engineering, analytics modernization, DevOps automation, and enterprise data transformation.

Qualifications

Required:
Bachelor's degree in Computer Science, Engineering, Information Systems, Analytics, or related field
4+ years of experience in Azure cloud infrastructure, platform engineering, or enterprise transformation delivery
Strong hands-on experience with Azure networking, Landing Zones, cloud architecture, and infrastructure deployment
Experience administering and supporting Databricks environments including Unity Catalog, governance, and cluster management
Experience implementing Infrastructure as Code (Terraform, Bicep, ARM)
Experience developing and supporting CI/CD pipelines using Azure DevOps or GitHub Actions
Strong understanding of cloud security, networking, governance, and enterprise platform operations
Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
Limited immigration sponsorship may be available.
Preferred:
Experience supporting enterprise analytics, ETL, Snowflake, or modern data engineering ecosystems
Experience supporting AI/ML or advanced analytics infrastructure environments
Azure and/or Databricks certifications preferred
Experience working across hybrid cloud or enterprise modernization initiatives
Consulting experience supporting large-scale transformation programs

Wages + Salary

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $116,200 to $229,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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