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Cloud Engineer Jobs in Michigan (NOW HIRING)

FastTek

Cloud Engineering Engineer 2

Dearborn, MI

$51.25 - $68.50/hr

Experience with SRE practices in Google Cloud Platform Programming experience (Java, Python, or Go). Skills Required: * GCP, Dynatrace, Splunk, Skills Preferred: * AIPGEE, Java, API Experience ...

TEKsystems

Network Cloud Engineer

Farmington Hills, MI · Hybrid

$50 - $65/hr

Description The Cloud Network Engineer II is responsible for designing, implementing, and supporting cloud and hybrid network infrastructure, with a focus on secure, scalable, and highly available ...

Brooksource

Jr. Network Cloud Engineer

Wyoming, MI · On-site

$29 - $30/hr

Jr. Network Cloud Engineer Wyoming, MI (4 days in person, 1 day remote) $30/hr Start date: August 10th, 2026 1-year Contract-to-Hire (CTH) ABOUT THE ROLE Our large food distribution client is seeking ...

Ford Motor Company

Cloud Prognostics Engineer

Dearborn, MI · On-site

$51.25 - $68.50/hr

We are seeking a top-tier Cloud Prognostics Engineering professional who is data driven, self-motivated and detail oriented to help develop and deliver breakthrough Prognostic Features. What you'll ...

Ford Motor Company

Cloud Prognostics Engineer

Dearborn, MI · On-site

$51.50 - $69/hr

We are seeking a top-tier Cloud Prognostics Engineering professional who is data driven, self-motivated and detail oriented to help develop and deliver breakthrough Prognostic Features. What you'll ...

CONTROLTEC LLC

Cloud Automation Engineer

Allen Park, MI

$50.75 - $68/hr

Control-Tec is looking for a passionate, motivated, and detail-oriented Cloud Automation Engineer, entry level. This position will be working on the IT Solutions team to automate infrastructure ...

CONTROLTEC LLC

Cloud Automation Engineer

Allen Park, MI · On-site

$50.75 - $68/hr

Control-Tec is looking for a passionate, motivated, and detail-oriented Cloud Automation Engineer, entry level. This position will be working on the IT Solutions team to automate infrastructure ...

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Cloud Engineer information

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How much do cloud engineer jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for cloud engineer 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 is a cloud engineer?

As a cloud engineer, you manage and monitor cloud computing systems. Your job duties include creating, testing, and implementing cloud technologies based on the demands of your business. Many cloud engineers are involved in other aspects of information technology, such as overseeing SAP projects. Strong communication skills are required to communicate with clients to understand their needs so that you can create effective solutions for them. You work closely with the entire development team to create a work plan and timeline for deliverables on a project.

What are the key skills and qualifications needed to thrive as a cloud engineer?

To thrive as a Cloud Engineer, you need a strong background in computer science, networking, and cloud computing platforms like AWS, Azure, or Google Cloud, often supported by a relevant degree or certifications such as AWS Certified Solutions Architect or Microsoft Certified: Azure Solutions Architect. Familiarity with infrastructure-as-code tools (e.g., Terraform, CloudFormation), containerization (Docker, Kubernetes), and CI/CD pipelines is typically required. Excellent problem-solving, collaboration, and communication skills help you work effectively across technical and business teams. These skills ensure efficient cloud infrastructure deployment, robust security, and seamless operations critical for modern organizations.

What are some common challenges cloud engineers face when migrating legacy systems to the cloud?

Cloud Engineers often encounter challenges such as ensuring data integrity during migration, minimizing downtime, and addressing compatibility issues between legacy applications and cloud platforms. Additionally, they must plan for security and compliance requirements while optimizing costs and performance. Collaboration with cross-functional teams, including security, application owners, and business stakeholders, is crucial to successfully navigate these complexities and deliver a seamless transition.

What is the difference between Cloud Engineer vs Cloud Administrator?

AspectCloud EngineerCloud Administrator
CertificationsAWS, Azure, Google Cloud certifications, DevOps toolsSimilar cloud platform certifications, focus on administration
Work EnvironmentDesigning, developing, and deploying cloud solutionsManaging and maintaining cloud infrastructure
ResponsibilitiesBuilding cloud architecture, automation, scriptingMonitoring, configuring, troubleshooting cloud systems
Industry UsageUsed across tech, finance, healthcare for cloud deploymentPrimarily in organizations with existing cloud infrastructure

While both roles work with cloud platforms, Cloud Engineers focus on designing and building cloud solutions, whereas Cloud Administrators manage and maintain existing cloud environments. Understanding these differences helps in choosing the right career path or job role.

Do cloud engineers get paid well?

Cloud engineers typically earn competitive salaries due to the high demand for skills in cloud platforms like AWS, Azure, and Google Cloud. Salaries vary based on experience, certifications, and location, but generally, cloud engineering is considered a well-paying IT role. Professionals with expertise in scripting, automation, and security tend to have higher earning potential.

Is cloud engineering still in demand?

Cloud engineering remains in high demand as organizations continue to migrate to cloud platforms like AWS, Azure, and Google Cloud. Professionals with skills in cloud architecture, security, and automation are sought after, and certifications such as AWS Certified Solutions Architect can enhance job prospects.

What does a cloud engineer actually do?

A cloud engineer designs, implements, and manages cloud infrastructure and services, such as AWS, Azure, or Google Cloud. They handle tasks like deploying applications, ensuring security, optimizing performance, and maintaining cloud environments, often using scripting and automation tools. Strong knowledge of networking, security, and cloud platforms is essential for this role.
More about Cloud Engineer jobs

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

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

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

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

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

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

What cities in Michigan are hiring for Cloud Engineer jobs?

Cities in Michigan with the most Cloud Engineer job openings:

What are popular job titles related to Cloud Engineer jobs in MI?

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

Cloud Engineer jobs near you
Infographic showing various Cloud Engineer job openings in Michigan as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $114,007 per year, or $54.8 per hour.

Cloud Engineer - AWS Foundation Platform

Stellantis

Auburn Hills, MI • On-site

$52.75 - $70.50/hr

Full-time

Re-posted 11 days ago

Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

13th of 45 rated automakers

Job description

Stellantis is seeking a skilled and motivated Cloud Engineer to reinforce and support the design, implementation, and continuous improvement of our AWS Foundation Product - an AWS Landing Zone governing 1,500+ AWS accounts distributed across all Stellantis business functions and geographies (NAFTA, LATAM, Europe, EMEA, and APAC). As a Cloud Engineer, you will collaborate with cross-functional teams - including SecOps, FinOps, platform consumers, and global infrastructure teams - to build reusable platform components, drive DevOps maturity, and operate the AWS organizational layer as a product. AI tools are an integral part of daily engineering practice in this team.
Key Responsibilities:
  • Design and implement end-to-end automation of the AWS account lifecycle - provisioning, configuration, baselining, and decommissioning - achieving zero-touch operations at scale using Lambda, Step Functions, and EventBridge..
  • Build and maintain a self-service cloud platform (account vending machine, network factory, identity federation) enabling application teams to onboard and operate autonomously, backed by an Internal Developer Portal with AI-powered capabilities.
  • Own Infrastructure as Code (IaC) delivery pipelines across 1,500+ accounts using Terraform, enforcing GitOps practices, policy-as-code, drift detection, and automated testing at every stage.
  • Define and operate SLOs, Error Budgets, and an observability stack with AI-assisted anomaly detection across provisioning, cost, network, and security signals - enabling predictive operations rather than reactive firefighting.
  • Manage AWS Control Tower, Organizations, and Service Control Policies (SCPs), enforcing governance, least-privilege IAM, and compliance guardrails with automated self-healing when drift is detected.
  • Apply AI tools as a standard daily practice for IaC authoring, automation scripting, test generation, incident analysis, and runbook maintenance - maintaining full engineering ownership of all generated outputs.
  • Lead post-mortems and translate every incident into systemic engineering improvements; maintain runbooks and playbooks as versioned, executable artifacts.

Basic Qualifications:
  • Bachelor's degree in computer science, Information Technology, or related field.
  • Minimum 5 years of experience designing, deploying, and managing AWS cloud environments at enterprise scale in multi-account contexts.
  • Expertise in AWS multi-account services: AWS Control Tower, Organizations, Service Control Policies, and Landing Zone design patterns.
  • Expert-level Terraform and/or AWS CDK for Infrastructure as Code; GitOps delivery pipelines with drift detection and policy gates (GitHub Actions, GitLab CI...).
  • Proficiency in Python and/or Typescripts for building platform tooling, internal CLIs, automation services, and event-driven workflows (Lambda, Step Functions, EventBridge...).
  • Daily use of AI coding assistants (GitHub Copilot, Claude Code, Codex ...) with demonstrated ability to review, validate, and own AI-generated code at production quality.
  • Solid understanding of DevOps and SRE practices: DORA metrics, SLOs, error budgets, incident management, policy-as-code, and blameless post-mortem culture.
  • Strong knowledge of AWS networking: Transit Gateway, VPC design, Route 53, Direct Connect, and PrivateLink.
  • Experience with AWS security services: Security Hub, GuardDuty, Config Rules, IAM design, and automated compliance remediation.
  • AWS Certifications preferred: DevOps Engineer Professional, Solutions Architect Professional, or Security Specialty.
  • Familiarity with AIOps and AI/ML platform services (Amazon Bedrock, SageMaker, Amazon Q Business, DevOps Guru) is a strong plus.

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