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Amazon Cloud Support Engineer Jobs in Michigan (NOW HIRING)

Description The Cloud Network Engineer II is responsible for designing, implementing, and ... Essential Tasks/Major Duties • Design and support secure, scalable network solutions across AWS ...

Cloud Engineer

Farmington Hills, MI · On-site +1

$54.75 - $73.25/hr

We are seeking a highly motivated and experienced Cloud Infrastructure & Systems Administrator with ... support. The successful candidate will be responsible for designing, implementing, maintaining, and ...

Essential Tasks/Major Duties • Design and support secure, scalable network solutions across AWS ... in cloud engineering or architecture, with hands-on proficiency in AWS, Azure, and OCI. • AWS ...

AWS Cloud Architect

Lansing, MI · On-site

$65.75 - $86.25/hr

... developers and administrators on cloud-native patterns. Key Responsibilities AWS Platform ... Stand up and operate Amazon EKS clusters across Dev/Test/Prod for containerized workloads ...

Support product teams with knowledge of cloudand containerservices. * Act proactively byself ... Google Cloud Platform * Azure DevOps Pipelines/ GitHub Actions * Kubernetes (AKSandGKEpreferred)

Sr. Cloud Engineer - Azure

Grand Rapids, MI · On-site

$53.50 - $71.50/hr

... Support product teams with knowledge of cloud services. • Act proactively by self-initiated ... Azure DevOps Pipelines). • Practical experience with Infrastructure-as-Code and all cloud ...

Support product teams with knowledge of cloud and container services. * Act proactively by self ... Azure DevOps Pipelines/ GitHub Actions * Kubernetes (AKS and GKE preferred) * Terraform * Azure CLI ...

Support product teams with knowledge of cloudand containerservices. * Act proactively byself ... Google Cloud Platform * Azure DevOps Pipelines/ GitHub Actions * Kubernetes (AKSandGKEpreferred)

Showing results 41-60

Amazon Cloud Support Engineer information

See Michigan salary details

$14

$34

$59

How much do amazon cloud support engineer jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for amazon cloud support engineer in Michigan is $34.75, according to ZipRecruiter salary data. Most workers in this role earn between $25.77 and $40.62 per hour, depending on experience, location, and employer.

What does an Amazon Cloud Support Engineer do?

An Amazon Cloud Support Engineer helps customers troubleshoot and resolve technical issues with Amazon Web Services (AWS) products and services. They provide expert guidance, analyze problems, and offer solutions related to cloud infrastructure, networking, storage, and security. Their role often involves collaborating with internal teams and customers to ensure seamless cloud operations and optimal use of AWS resources. Additionally, they may assist with best practices, performance tuning, and documentation to enhance the customer experience.

What are the key skills and qualifications needed to thrive as an Amazon Cloud Support Engineer, and why are they important?

To thrive as an Amazon Cloud Support Engineer, you need a solid understanding of cloud computing concepts, strong troubleshooting abilities, and experience with operating systems, networking, and programming, often supported by a degree in computer science or related certifications like AWS Certified Solutions Architect. Familiarity with AWS services, cloud management tools, Linux/Windows administration, and ticketing systems is typically required. Outstanding customer service, effective communication, and problem-solving skills help you excel in addressing client issues and collaborating with teams. These competencies are crucial for delivering timely technical support and ensuring optimal performance of cloud-based solutions for Amazon's customers.

What are some common challenges faced by Amazon Cloud Support Engineers, and how can candidates prepare to address them?

Amazon Cloud Support Engineers often encounter complex technical issues that require troubleshooting across a wide range of AWS services. A common challenge is keeping up with the rapid pace of new AWS feature releases and understanding how these changes impact customers' cloud environments. Additionally, the role involves managing customer expectations while providing timely solutions, which requires strong communication skills and the ability to prioritize tasks. Candidates can prepare by gaining hands-on experience with AWS services, studying real-world case studies, and developing both problem-solving and customer service skills.

What is the difference between Amazon Cloud Support Engineer vs Cloud Support Specialist?

AspectAmazon Cloud Support EngineerCloud Support Specialist
Required CredentialsAWS certifications, technical degreesCertifications vary, often AWS or cloud platform-specific
Work EnvironmentCustomer support, troubleshooting cloud issues, technical assistanceTechnical support, issue resolution, customer communication
Employer & Industry UsagePrimarily in cloud service providers, tech companiesIn IT service firms, cloud service providers
Common Search & ComparisonYesYes

The Amazon Cloud Support Engineer and Cloud Support Specialist roles share similar responsibilities in supporting cloud services and troubleshooting issues. However, the Amazon Cloud Support Engineer typically requires AWS certifications and focuses specifically on Amazon Web Services, working within a cloud provider environment. The Cloud Support Specialist may work across various cloud platforms and may have a broader or more generalized support role. Both positions are essential in cloud service industries and often overlap in skills and work environment.

What are popular job titles related to Amazon Cloud Support Engineer jobs in Michigan?

For Amazon Cloud Support Engineer jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Amazon Cloud Support Engineer jobs in Michigan look for?

The top searched job categories for Amazon Cloud Support Engineer jobs in Michigan are:

Infographic showing various Amazon Cloud Support Engineer job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 22% Part Time, 2% Temporary, 5% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $72,282 per year, or $34.8 per hour.

Senior Engineering Management Specialist - DevOps Engineer

Deloitte

Detroit, MI

$128K - $165K/yr

Full-time

Posted 8 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

45th of 151 rated financial services


Job description

Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Work you'll do

As a Senior Engineering Management Specialist - DevOps Engineer on the Industry Solutions team, you will be responsible for...

  • Deploy, manage, and optimize AWS cloud infrastructure supporting the client, including self-managed and non-self-managed Red Hat OpenShift clusters
  • Build and maintain continuous integration and continuous deployment (CI/CD) pipelines using GitLab Runners to support automated build, test, and deployment activities
  • Monitor platform health, performance, and security using observability and security tools, and address issues affecting reliability and availability
  • Manage cloud services and components including AWS Batch, AWS Secrets Manager, Amazon Simple Notification Service (Amazon SNS), Amazon Simple Storage Service (Amazon S3), AWS CloudTrail, Amazon Route 53, Amazon CloudFront, Application Load Balancer, AWS Lambda, and AWS Step Functions
  • Collaborate with development, quality engineering, and infrastructure teams to troubleshoot issues, improve workflows, maintain documentation, and support ongoing platform operations and enhancements

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our Industry Solutions clients seek verticalized solutions that transform how they sell products, deliver services, generate growth, and fulfill mission-critical operations. The Industry Solutions offering delivers integrated business expertise with repeatable scaled technology solutions that are specifically engineered for each sector's IndustryAdvantageTM.

Qualifications

Required:

  • Bachelor's degree
  • 5+ years of experience in DevOps roles supporting Amazon Web Services (AWS) environments
  • 1+ years of experience provisioning, deploying, and managing environments within AWS, and troubleshooting cloud infrastructure, deployment processes, and application issues within AWS environments
  • 1+ years of experience building, maintaining, and executing deployment scripts and supporting code releases across environments
  • 1+ years of experience with Red Hat OpenShift, Docker, GitLab Runners, and AWS services used in the role, including AWS Batch, AWS Secrets Manager, Amazon Simple Notification Service (Amazon SNS), Amazon Simple Storage Service (Amazon S3), AWS CloudTrail, Amazon Route 53, Amazon CloudFront, Application Load Balancer, AWS Lambda, and AWS Step Functions
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
  • Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve.

Preferred:

  • Experience with 3Scale API Gateway
  • Experience with ForgeRock and OpenID Connect (OIDC) authentication
  • Experience with Talend or content management system frameworks
  • Experience applying DevSecOps practices
  • Experience with scripting and automation for cloud operations
  • Experience supporting artificial intelligence (AI) solutions, data lake deployment, analytics platforms, or using AI-enabled tools for scripting, code development, and troubleshooting

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 $105,400 to $207,800.

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:

Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Work you'll do

As a Senior Engineering Management Specialist - DevOps Engineer on the Industry Solutions team, you will be responsible for...

  • Deploy, manage, and optimize AWS cloud infrastructure supporting the client, including self-managed and non-self-managed Red Hat OpenShift clusters
  • Build and maintain continuous integration and continuous deployment (CI/CD) pipelines using GitLab Runners to support automated build, test, and deployment activities
  • Monitor platform health, performance, and security using observability and security tools, and address issues affecting reliability and availability
  • Manage cloud services and components including AWS Batch, AWS Secrets Manager, Amazon Simple Notification Service (Amazon SNS), Amazon Simple Storage Service (Amazon S3), AWS CloudTrail, Amazon Route 53, Amazon CloudFront, Application Load Balancer, AWS Lambda, and AWS Step Functions
  • Collaborate with development, quality engineering, and infrastructure teams to troubleshoot issues, improve workflows, maintain documentation, and support ongoing platform operations and enhancements

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our Industry Solutions clients seek verticalized solutions that transform how they sell products, deliver services, generate growth, and fulfill mission-critical operations. The Industry Solutions offering delivers integrated business expertise with repeatable scaled technology solutions that are specifically engineered for each sector's IndustryAdvantageTM.

Qualifications

Required:

  • Bachelor's degree
  • 5+ years of experience in DevOps roles supporting Amazon Web Services (AWS) environments
  • 1+ years of experience provisioning, deploying, and managing environments within AWS, and troubleshooting cloud infrastructure, deployment processes, and application issues within AWS environments
  • 1+ years of experience building, maintaining, and executing deployment scripts and supporting code releases across environments
  • 1+ years of experience with Red Hat OpenShift, Docker, GitLab Runners, and AWS services used in the role, including AWS Batch, AWS Secrets Manager, Amazon Simple Notification Service (Amazon SNS), Amazon Simple Storage Service (Amazon S3), AWS CloudTrail, Amazon Route 53, Amazon CloudFront, Application Load Balancer, AWS Lambda, and AWS Step Functions
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
  • Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve.

Preferred:

  • Experience with 3Scale API Gateway
  • Experience with ForgeRock and OpenID Connect (OIDC) authentication
  • Experience with Talend or content management system frameworks
  • Experience applying DevSecOps practices
  • Experience with scripting and automation for cloud operations
  • Experience supporting artificial intelligence (AI) solutions, data lake deployment, analytics platforms, or using AI-enabled tools for scripting, code development, and troubleshooting

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 $105,400 to $207,800.

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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