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Ai Devops Engineer Jobs in Michigan (NOW HIRING)

Cloud DevOps Engineer

Birmingham, MI · On-site

$50.25 - $69/hr

Description Cloud DevOps Engineer Location : Remote, United States Employment Type : Full-Time ... Experience using modern AI-assisted development tooling such as GitHub Copilot, Cursor, Claude Code ...

Cloud DevOps Engineer

Rochester, MI · On-site

$48.50 - $66.50/hr

Description Cloud DevOps Engineer Location : Remote, United States Employment Type : Full-Time ... Experience using modern AI-assisted development tooling such as GitHub Copilot, Cursor, Claude Code ...

DevOps Engineer

Dearborn, MI · On-site

$48.50 - $66.50/hr

Role: DevOps Engineer Duration: Long - Term Location: Dearborn, MI - 4 days onsite in a week Local candidate only Description: In this role, the engineer will be responsible for implementing and ...

DevOps Engineer

Grand Rapids, MI · On-site

$50.75 - $69.50/hr

The DevOps Engineer develops and supports modern infrastructure and platform solutions that support both internal development teams and software delivery worldwide. This role works on stable ...

Salesforce DevOps Engineer

Lansing, MI · On-site

$53.50 - $73.25/hr

We are seeking an experienced Salesforce DevOps Engineer to support engagement. The ideal candidate will be responsible for managing and optimizing DevOps processes for Salesforce projects using ...

DevOps Engineer

Detroit, MI · Hybrid

$52.25 - $71.50/hr

We are looking for a DevOps Engineer to join our amazing Cloud Engineering team. We are developing ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

DevOps Engineer

Dearborn, MI · On-site

$48.50 - $66.50/hr

Stefanini is looking for a DevOps Engineer(Dearborn, MI) For quick apply, please reach out to Lovkesh Bhati at / We are looking for a DevOps / SRE Engineer to help us architect, automate, and scale ...

Sr. DevOps Engineer

Dearborn, MI · On-site

$119K - $153K/yr

Title: Sr. DevOps Engineer Department: Information Technology Reports to: Sr. Manager, IT Delivery COE Location: Dearborn Job Classification: Remote FLSA Status: Exempt Job Band: Professional Job ...

Lead DevOps Engineer

Dearborn, MI · On-site

$48.50 - $66.50/hr

The DevOps Lead will design, implement, and support agile solutions and processes leveraged by applications hosted in our Microsoft Azure environment. This role is pivotal in driving continuous ...

Lead DevOps Engineer

Dearborn, MI · On-site

$48.50 - $66.50/hr

The DevOps Lead will design, implement, and support agile solutions and processes leveraged by applications hosted in our Microsoft Azure environment. This role is pivotal in driving continuous ...

DevOps Engineer

Ann Arbor, MI · On-site

$51.50 - $70.75/hr

... s Engineer to support the reliability, security, scalability, and operational maturity of CAI ... Proficiency with AI-assisted coding and automation tools, including the ability to translate ideas ...

Lead DevOps Engineer

Dearborn, MI

$48.50 - $66.50/hr

The DevOps Lead will design, implement, and support agile solutions and processes leveraged by applications hosted in our Microsoft Azure environment. This role is pivotal in driving continuous ...

Lead DevOps Engineer

Detroit, MI · On-site

$52.25 - $71.50/hr

Lead DevOps Engineer Job Location: Detroit, MI Job Type: Contract • Collaborate with Agile development teams to design, implement, and maintain a secure software development lifecycle and automated ...

Senior DevOps Engineer

Ann Arbor, MI · Hybrid

$127K - $163K/yr

The DevOps team is responsible for everything between the hardware and the application. If you are an expert in Linux and have experience supporting larger applications, then we would love to speak ...

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Ai Devops Engineer information

See Michigan salary details

$14

$52

$75

How much do ai devops engineer jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for ai devops engineer in Michigan is $52.76, according to ZipRecruiter salary data. Most workers in this role earn between $44.23 and $60.53 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an AI DevOps Engineer, and why are they important?

To thrive as an AI DevOps Engineer, you need expertise in software engineering, machine learning pipelines, and cloud infrastructure, often backed by a degree in computer science or a related field. Familiarity with tools like Docker, Kubernetes, CI/CD systems, version control (e.g., Git), and cloud platforms (AWS, Azure, GCP), as well as certifications such as AWS Certified DevOps Engineer, are highly valuable. Strong problem-solving, collaboration, and communication skills help you work effectively with cross-functional teams and adapt to evolving project requirements. These competencies are essential to ensure robust, scalable, and efficient deployment of AI solutions in production environments.

What are AI DevOps Engineers?

AI DevOps Engineers are professionals who blend expertise in artificial intelligence (AI) and DevOps practices to streamline the development, deployment, and maintenance of AI-powered applications. They automate and manage the continuous integration and continuous deployment (CI/CD) pipelines for machine learning models, ensuring scalability, reliability, and efficiency in production environments. Their role also includes monitoring AI systems, managing model versions, and collaborating with data scientists, software engineers, and IT teams to bridge the gap between development and operations. This position is crucial for organizations looking to operationalize AI solutions at scale.

How does an AI DevOps Engineer typically collaborate with data scientists and software engineers on AI projects?

An AI DevOps Engineer plays a crucial role in bridging the gap between data scientists and software engineers by streamlining the deployment and monitoring of AI models. They often work closely with data scientists to automate model training, testing, and deployment pipelines, ensuring that models move smoothly from development to production. Additionally, they collaborate with software engineers to integrate models into scalable applications, manage infrastructure, and set up monitoring systems to track performance and reliability. This role requires strong communication skills and a proactive approach to troubleshooting issues that arise in cross-functional teams.

What is the difference between Ai Devops Engineer vs Data Engineer?

AspectAi Devops EngineerData Engineer
Required CredentialsCertifications in cloud platforms, DevOps tools, AI/ML frameworksCertifications in data management, SQL, cloud platforms
Work EnvironmentCollaborates with AI/ML teams, DevOps, cloud infrastructureWorks with data pipelines, databases, big data tools
Employer & Industry UsageTech companies, AI startups, cloud service providersFinance, healthcare, e-commerce, data-driven industries

Ai Devops Engineers focus on deploying and maintaining AI/ML models in production using DevOps practices, while Data Engineers build and manage data pipelines and infrastructure. Both roles require cloud and scripting skills but serve different stages of data and AI workflows.

What are popular job titles related to Ai Devops Engineer jobs in Michigan? For Ai Devops Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Ai Devops Engineer jobs in Michigan look for? The top searched job categories for Ai Devops Engineer jobs in Michigan are:
Infographic showing various Ai Devops Engineer job openings in Michigan as of July 2026, with employment types broken down into 60% Full Time, 7% Part Time, and 33% Contract. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $109,741 per year, or $52.8 per hour.
Cloud DevOps Engineer

Cloud DevOps Engineer

OneStream Software

Birmingham, MI • On-site

$50.25 - $69/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago


Job description

Description

Cloud DevOps Engineer

Location: Remote, United States

Employment Type: Full-Time

Benefits Offered: Vision, Medical, Life, Dental, 401K

Gross Annual Base Salary: USD 99,000 - 128,500

Additional variable compensation and benefits may apply. Total compensation is based on experience, skills, and location using objective, job-related criteria.

Summary

As a Cloud DevOps Engineer, you will be a critical member in building, automating, securing, and operating the cloud platforms that power OneStream's global SaaS offerings. The Cloud Engineering team is focused on delivering scalable, reliable, and highly automated infrastructure solutions that improve platform resiliency, operational excellence, and engineering velocity across the organization. Your primary function will involve designing, implementing, and supporting cloud infrastructure, Infrastructure-as-Code solutions, CI/CD automation, and cloud-native services across Azure and Kubernetes environments. This role plays a key part in improving the scalability, security, reliability, and operational maturity of OneStream's global SaaS platform. In this position, you will also collaborate closely with cross-functional teams including Engineering, Security, Compliance, and Cloud Operations. Your expertise will help drive modernization, operational improvements, and platform standardization while contributing to a culture of continuous learning, innovation, and engineering excellence.

Primary Duties and Responsibilities

  • Develop and maintain Infrastructure-as-Code such as Terraform, PowerShell, ARM, Bicep, Bash and YAML languages.
  • Deliver high-quality implementations in a timely manner.
  • Design and maintain CI/CD pipelines supporting secure, reliable and repeatable deployments.
  • Update technical documentation, workflows, and knowledge base articles.
  • Build knowledge in focused areas of the OneStream platform and deployment stack.
  • Participate in collaborative engineering, peer reviews, and knowledge sharing initiatives.
  • Collaborate with other teams to define, estimate, and implement requirements for new automations or services needed for development.
  • Apply software engineering best practices to infrastructure and automation development.
  • Optimize cloud environments for scalability, reliability, and cost efficiency.
  • Participate in troubleshooting and resolution of complex production issues across cloud platforms and services.
  • Work with Compliance and Security teams to ensure compliance with required controls.

Required Education and Experience

  • BS/BA in computer science, engineering, or technology-related field (or equivalent work experience).
  • 4+ years of cloud infrastructure experience primarily with Azure.
  • Understanding of Infrastructure-As-Code concepts and tooling (Terraform, Bicep, ARM or CloudFormation templates) on Microsoft Azure.
  • Experience with observability tooling such as Dynatrace, Azure Monitor, OpenTelemetry, Prometheus, Grafana.
  • Experience with cloud architecture concepts including scalability, resiliency, security, and identity management.
  • Familiar with Agile Development methodologies utilizing Jira, Confluence and Azure DevOps Boards.
  • Experience using modern AI-assisted development tooling such as GitHub Copilot, Cursor, Claude Code, or equivalent.
  • 4+ years of hands-on experience with the following technologies, tools, and concepts:
    • Automating processes using Bash, CLI, PowerShell, REST APIs, ARM Templates, or other scripting languages.
    • Proficiency with source control platforms such as Git and GitHub.
    • Knowledge of container orchestration platforms such as Kubernetes, OpenShift, AKS, GKE
    • Microsoft Azure, Amazon Web Services (AWS), or Google Cloud (GCP).
    • Windows Server, IIS, Microsoft SQL Server

Preferred Education and Experience

  • 4+ years of relevant Azure experience deploying and managing leveraging Infrastructure-as-Code (IAC) concepts.
  • Experience working for a cloud service provider (CSP), managed service provider (MSP), or SaaS provider.
  • Experience supporting cloud-native applications and containerized workloads on Kubernetes platforms such as AKS, OpenShift, GKE, or EKS.
  • Microsoft Windows Server, Ubuntu and enterprise Linux distributions, IIS, and Kestrel.
  • Experience supporting highly available and scalable Azure SQL platforms including Azure SQL Database, Hyperscale, and SQL Managed Instance.
  • Microsoft Certifications: (AZ-104 - Azure Administrator Associate, AI-900 / AI-901 - Azure AI Fundamentals, Azure AI Engineer Associate, Azure Network Engineer Associate).
  • Microsoft Cloud Adoption Framework (CAF).

Knowledge, Skills, and Abilities

  • Can deal with ambiguous/undefined problems.
  • Ability to self-motivate and work independently.
  • Good organizational and prioritization skills.
  • Ability to find and apply effective solutions to emerging problems and challenges.
  • Good attention to detail.
  • Ability to estimate your efforts.
  • Ability to get up to speed quickly with modern technologies and services.
  • Work well in a fast-paced environment.
  • Comfortable communicating with peers.
  • Experience with OneStream Software is not required.

Who We Are

OneStream is how today's Finance teams can go beyond just reporting on the past and Take Finance Further by steering the business to the future. It's the only enterprise finance platform that unifies financial and operational data, embeds AI for better decisions and productivity, and empowers the CFO to become a critical driver of business strategy and execution. Our vision is to be the operating system for modern finance, digitizing core financial functions and empowering the CFO to become a critical driver of business strategy. To learn more visit www.onestream.com.

Why Join The OneStream Team

  • Transparency around corporate structure, salary, and benefits.
  • Core value of customer success.
  • Variety of project work (not industry-specific).
  • Strong culture andcamaraderie.
  • Multiple training opportunities.

Benefits at OneStream

OneStream employees are passionate, hardworking individuals who go above and beyond to keep our customers happy and follow through on our mission statement. They consistently deliver the best and in turn, we make every effort to keep them cared for and happy. A sample of the benefits we provide are:

  • Excellent Medical Plan.
  • Dental & Vision Insurance.
  • Life Insurance.
  • Short & Long Term Disability.
  • Vacation Time.
  • Paid Holidays.
  • Professional Development.
  • Retirement Plan.

All candidates must be legally authorized to work for any company in the country where this position is located without sponsorship.

OneStream is an Equal Opportunity Employer.

#LI-REMOTE #LI-AS1


Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.