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Aws Cloud Infrastructure Engineer Jobs in Rochester, MI

Deloitte

Workplace Engineer III/M365

Detroit, MI · On-site

Cloud Infrastructure Engineer III - Workplace Engineering/M365 AI & Engineering helps organizations build, deploy, and operate integrated solutions across software, data, AI, networks, and hybrid ...

New

Pi Square Technologies LLC

Senior DevOps Engineers

Detroit, MI · On-site

$128K - $165K/yr

... , PE or infrastructure engineering experience. * 5+ years of hands-on experience with cloud ... AWS (GCP or Azure a plus). * Advanced Linux systems expertise, including deep knowledge of systemd ...

New

Deloitte

Cloud Security Engineer Manager

Detroit, MI · On-site

$141K/yr

... AWS, Azure, or GCP) and on-premises data center infrastructure, including VLANs, subnetting ... Collaborate with Network and Firewall Teams, Application Teams, Server Teams, Cloud Engineering ...

Nastech Global

Developer

Detroit, MI · On-site

... AWS, Azure, or Google Cloud. - Proven experience in platform and infrastructure engineering, particularly in cloud environments. - Expertise in Data Engineering and ETL processes with a strong ...

Deloitte

Senior Forward Deployed Engineer- AWS

Detroit, MI · On-site

$103K - $142K/yr

... cloud infrastructure. These solutions are powered by engineering for business advantage ... AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), AWS Certified AI ...

Deloitte

Lead Forward Deployed Engineer - AWS

Detroit, MI · On-site

$101K - $133K/yr

... cloud infrastructure. These solutions are powered by engineering for business advantage ... AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), AWS Certified AI ...

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All JobsAws Cloud Infrastructure Engineer JobsAws Cloud Infrastructure Engineer Jobs in Rochester, MI

Aws Cloud Infrastructure Engineer information

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How much do aws cloud infrastructure engineer jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for aws cloud infrastructure engineer in Rochester, MI is $57.88, according to ZipRecruiter salary data. Most workers in this role earn between $49.33 and $65.91 per hour, depending on experience, location, and employer.

What is an AWS Cloud Infrastructure Engineer?

An AWS Cloud Infrastructure Engineer is a professional who designs, deploys, manages, and maintains cloud-based solutions using Amazon Web Services (AWS). They are responsible for setting up and optimizing cloud environments to ensure secure, scalable, and reliable infrastructure for applications and services. Their duties often include configuring virtual networks, automating deployments, monitoring system performance, and implementing best security practices in the cloud. They work closely with development and operations teams to support business needs and ensure efficient use of AWS resources.

What are the key skills and qualifications needed to thrive as an AWS Cloud Infrastructure Engineer?

To thrive as an AWS Cloud Infrastructure Engineer, you need a solid understanding of cloud architecture, networking, and security principles, typically demonstrated through relevant experience or a degree in computer science or IT. Familiarity with AWS services (such as EC2, S3, VPC), Infrastructure as Code tools (like Terraform or CloudFormation), and certifications such as AWS Certified Solutions Architect are highly valuable. Strong problem-solving abilities, collaboration, and effective communication skills help engineers excel when troubleshooting and working in cross-functional teams. These skills ensure reliable, scalable, and secure cloud environments that align with organizational goals.

What are some common challenges faced by AWS Cloud Infrastructure Engineers when managing large-scale deployments?

AWS Cloud Infrastructure Engineers often encounter challenges such as ensuring high availability and scalability of resources, managing costs effectively, and maintaining robust security across multiple services. Coordinating updates or changes across distributed systems without causing downtime can be complex, especially as environments grow. Additionally, keeping up with AWS's rapidly evolving suite of services requires continuous learning and adaptation. Engineers frequently collaborate with development, operations, and security teams to address these challenges and deliver reliable cloud solutions.

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

AspectAws Cloud Infrastructure EngineerCloud Systems Administrator
CertificationsAWS Certified Solutions Architect, AWS Certified SysOps AdministratorCompTIA Cloud+, AWS Certified SysOps Administrator
Work EnvironmentDesigning, deploying, and managing AWS cloud infrastructureMaintaining and supporting cloud systems, troubleshooting, and user management
Employer & IndustryTech companies, cloud service providers, enterprises using AWSOrganizations with cloud infrastructure, including enterprises and managed service providers
Search & Comparison IntentFocus on cloud architecture and deployment in AWSFocus on system maintenance and operational support in cloud environments

The AWS Cloud Infrastructure Engineer primarily designs and deploys cloud solutions on AWS, focusing on architecture and scalability. In contrast, the Cloud Systems Administrator manages and maintains existing cloud systems, ensuring smooth operation and troubleshooting. Both roles require similar certifications and work in cloud environments, but their core responsibilities differ in design versus operational support.

Are AWS Cloud Infrastructure Engineer jobs still in demand?

AWS Cloud Infrastructure Engineer jobs remain in high demand due to the widespread adoption of cloud computing and the need for scalable, secure cloud environments. Skills in AWS services, cloud architecture, and certifications like AWS Certified Solutions Architect enhance job prospects in this field.

What are popular job titles related to Aws Cloud Infrastructure Engineer jobs in Rochester, MI?

For Aws Cloud Infrastructure Engineer jobs in Rochester, MI, the most frequently searched job titles are:

What job categories do people searching Aws Cloud Infrastructure Engineer jobs in Rochester, MI look for?

The top searched job categories for Aws Cloud Infrastructure Engineer jobs in Rochester, MI are:

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Cities near Rochester, MI with the most Aws Cloud Infrastructure Engineer job openings:

Aws Cloud Infrastructure Engineer jobs near you

Workplace Engineer III/M365

Deloitte

Detroit, MI • On-site

Full-time

Posted 2 days ago

New

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

45th of 151 rated financial services

Job description

Cloud Infrastructure Engineer III - Workplace Engineering/M365

AI & Engineering helps organizations build, deploy, and operate integrated solutions across software, data, AI, networks, and hybrid cloud infrastructure. In this role, you will help deliver workplace engineering capabilities that modernize end-user environments, improve productivity, and support adoption of emerging technologies at scale. You will work with clients to design, implement, and optimize workplace solutions across Microsoft 365, Active Directory, endpoint management, digital employee experience, automation, AI-powered productivity tools, and modern collaboration technologies. This role provides an opportunity to help shape the future of work through intelligent workplace solutions that enhance employee experience, collaboration, and business outcomes.

Recruiting for this role ends on 9/21/2026.

Work You'll Do

  • Design, implement, and migrate Microsoft 365, Active Directory, Entra and other Workplace Engineering technologies.
  • Lead workstreams for workplace transformation initiatives across mobility, desktop delivery, collaboration, endpoint management, and user support environments.
  • Support enterprise implementations of Microsoft 365 Copilot, Power Platform, virtual desktop infrastructure solutions, and AI-enabled workplace technologies.
  • Collaborate with client and cross-functional teams to improve end-user experience through automation, predictive support analytics, intelligent tooling, and digital employee experience solutions.
  • Manage project activities, coordinate deliverables, and guide team members through implementation efforts across large-scale technology programs.
  • Support evaluation, implementation, and adoption of enterprise AI solutions including Copilot, Claude, ChatGPT Enterprise, Gemini, and similar workplace AI platforms.
  • Advise clients on future-of-work strategies, workforce productivity improvements, and AI-enabled collaboration solutions.

The Team

Join a team helping leading organizations transform how employees work through AI, automation, cloud platforms, and modern workplace technologies. You will collaborate with multidisciplinary teams to deliver innovative solutions that improve productivity, enhance employee experiences, and accelerate business transformation.

Required Qualifications

  • 5+ years of experience with workplace engineering solutions using Microsoft 365, Active Directory, and Entra ID
  • 3+ years of project or program management experience
  • 3+ years supporting enterprise-scale technology implementations
  • 2+ years leading teams
  • Bachelor's degree or equivalent experience
  • Ability to travel 50% on average, based on the work you do and the clients and industries/sectors you serve
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred Qualifications

  • Experience with MDM, endpoint management solutions, and cloud-based endpoint computing infrastructure
  • Experience leading Microsoft 365 implementations including Exchange Online, SharePoint Online, and OneDrive for Business
  • Experience with Microsoft Endpoint Manager, Intune, Windows AutoPilot, and MECM
  • Experience with Power Apps, Power Automate, Power BI, Power Pages, Copilot Studio
  • Experience with migration tools such as Quest, BitTitan, ShareGate, and CTUDM
  • Experience with DaaS, VDI, and cloud computing environments
  • Experience with Microsoft 365 Copilot, Claude, ChatGPT Enterprise, Gemini, or similar enterprise AI platforms
  • Experience with Digital Employee Experience platforms such as Nexthink, Lakeside, Aternity or similar tools
  • Experience supporting AI governance, adoption, compliance, security, and change management initiatives
  • Experience leveraging analytics, telemetry, automation, and knowledge management solutions to improve workforce productivity

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:

Cloud Infrastructure Engineer III - Workplace Engineering/M365

AI & Engineering helps organizations build, deploy, and operate integrated solutions across software, data, AI, networks, and hybrid cloud infrastructure. In this role, you will help deliver workplace engineering capabilities that modernize end-user environments, improve productivity, and support adoption of emerging technologies at scale. You will work with clients to design, implement, and optimize workplace solutions across Microsoft 365, Active Directory, endpoint management, digital employee experience, automation, AI-powered productivity tools, and modern collaboration technologies. This role provides an opportunity to help shape the future of work through intelligent workplace solutions that enhance employee experience, collaboration, and business outcomes.

Recruiting for this role ends on 9/21/2026.

Work You'll Do

  • Design, implement, and migrate Microsoft 365, Active Directory, Entra and other Workplace Engineering technologies.
  • Lead workstreams for workplace transformation initiatives across mobility, desktop delivery, collaboration, endpoint management, and user support environments.
  • Support enterprise implementations of Microsoft 365 Copilot, Power Platform, virtual desktop infrastructure solutions, and AI-enabled workplace technologies.
  • Collaborate with client and cross-functional teams to improve end-user experience through automation, predictive support analytics, intelligent tooling, and digital employee experience solutions.
  • Manage project activities, coordinate deliverables, and guide team members through implementation efforts across large-scale technology programs.
  • Support evaluation, implementation, and adoption of enterprise AI solutions including Copilot, Claude, ChatGPT Enterprise, Gemini, and similar workplace AI platforms.
  • Advise clients on future-of-work strategies, workforce productivity improvements, and AI-enabled collaboration solutions.

The Team

Join a team helping leading organizations transform how employees work through AI, automation, cloud platforms, and modern workplace technologies. You will collaborate with multidisciplinary teams to deliver innovative solutions that improve productivity, enhance employee experiences, and accelerate business transformation.

Required Qualifications

  • 5+ years of experience with workplace engineering solutions using Microsoft 365, Active Directory, and Entra ID
  • 3+ years of project or program management experience
  • 3+ years supporting enterprise-scale technology implementations
  • 2+ years leading teams
  • Bachelor's degree or equivalent experience
  • Ability to travel 50% on average, based on the work you do and the clients and industries/sectors you serve
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred Qualifications

  • Experience with MDM, endpoint management solutions, and cloud-based endpoint computing infrastructure
  • Experience leading Microsoft 365 implementations including Exchange Online, SharePoint Online, and OneDrive for Business
  • Experience with Microsoft Endpoint Manager, Intune, Windows AutoPilot, and MECM
  • Experience with Power Apps, Power Automate, Power BI, Power Pages, Copilot Studio
  • Experience with migration tools such as Quest, BitTitan, ShareGate, and CTUDM
  • Experience with DaaS, VDI, and cloud computing environments
  • Experience with Microsoft 365 Copilot, Claude, ChatGPT Enterprise, Gemini, or similar enterprise AI platforms
  • Experience with Digital Employee Experience platforms such as Nexthink, Lakeside, Aternity or similar tools
  • Experience supporting AI governance, adoption, compliance, security, and change management initiatives
  • Experience leveraging analytics, telemetry, automation, and knowledge management solutions to improve workforce productivity

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.

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