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Freelance Devops Engineer Jobs in Michigan (NOW HIRING)

Sunset Grown

Cloud DevOps Engineer

Livonia, MI · On-site

$49.25 - $67.50/hr

The Cloud/DevOps Automation Engineer owns the full lifecycle of Mastronardi's cloud infrastructure, DevOps practices, and AI platform operations - from provisioning and securing Azure infrastructure ...

Mastronardi Produce Limited

Cloud DevOps Engineer

Livonia, MI · On-site

$49.25 - $67.50/hr

The Cloud/DevOps Automation Engineer owns the full lifecycle of Mastronardi's cloud infrastructure, DevOps practices, and AI platform operations - from provisioning and securing Azure infrastructure ...

Wolverine Staffing

SecOps/DevOps Engineer

Dexter, MI

SecOps/DevOps Engineer Overview Were seeking a highly skilled SecOps/DevOps Engineer to join our technology team. This is a hands-on role at the intersection of security operations , infrastructure ...

Mastronardi Produce

Cloud DevOps Engineer

Livonia, MI · On-site

$110 - $140/hr

The Cloud/DevOps Automation Engineer owns the full lifecycle of Mastronardi's cloud infrastructure, DevOps practices, and AI platform operations -- from provisioning and securing Azure infrastructure ...

AAA Life Insurance Company

Senior DevOps Engineer

Livonia, MI · On-site +1

$115K - $147K/yr

Overview We are seeking a seasoned Senior DevOps Engineer to help lead our transition from legacy infrastructure to a modern, cloud-native environment. The Opportunity - Why Join Are you ready to ...

AAA Life Insurance Company

Senior DevOps Engineer

Livonia, MI · On-site +1

$115K - $147K/yr

Overview We are seeking a seasoned Senior DevOps Engineer to help lead our transition from legacy infrastructure to a modern, cloud-native environment. The Opportunity - Why Join Are you ready to ...

AAA Life Insurance Company

Senior DevOps Engineer

Livonia, MI · On-site

$115K - $147K/yr

We are seeking a seasoned Senior DevOps Engineer to help lead our transition from legacy infrastructure to a modern, cloud-native environment. The Opportunity - Why Join Are you ready to redefine how ...

General Motors

Staff Software DevOps Engineer

Milford, MI · On-site

$46.50 - $63.50/hr

Influence cross-functional teams to adopt modern DevOps practices, resilient system design, and continuous improvement approaches. * Drive improvements in developer productivity, pipeline efficiency ...

General Motors

Staff Software DevOps Engineer

Warren, MI · On-site

$49.50 - $67.75/hr

Influence cross-functional teams to adopt modern DevOps practices, resilient system design, and continuous improvement approaches. * Drive improvements in developer productivity, pipeline efficiency ...

General Motors

Staff Software DevOps Engineer

Milford, MI · On-site

$46.50 - $63.50/hr

Influence cross-functional teams to adopt modern DevOps practices, resilient system design, and continuous improvement approaches. * Drive improvements in developer productivity, pipeline efficiency ...

IQVIA

$91K - $253K/yr

Senior DevOps Engineer (Hybrid position) Throtle is seeking a motivated and enthusiastic Senior DevOps Engineer to join our growing technology team. You will play a crucial role in building ...

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Freelance Devops Engineer information

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How much do freelance devops engineer jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for freelance 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 is a freelance DevOps engineer?

Freelance DevOps Engineers are independent professionals who specialize in bridging the gap between software development and IT operations. They help organizations automate processes, manage infrastructure, and ensure smooth software delivery by leveraging tools like CI/CD pipelines, cloud platforms, and configuration management. Unlike full-time employees, freelance DevOps engineers work on a contract basis for multiple clients, offering flexibility and specialized expertise as needed.

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

To thrive as a Freelance DevOps Engineer, you need expertise in software development, system administration, automation, and cloud platforms, typically supported by a relevant degree or certifications like AWS Certified DevOps Engineer or Docker Certified Associate. Familiarity with CI/CD tools (such as Jenkins, GitLab CI), infrastructure-as-code systems (like Terraform or Ansible), and version control systems (e.g., Git) is crucial. Strong problem-solving, self-management, and clear communication skills help freelancers efficiently coordinate with clients and adapt to diverse project requirements. These competencies ensure reliable delivery of scalable, automated solutions and foster successful client relationships in a dynamic, remote work environment.

What are some typical challenges faced by freelance DevOps engineers when working with multiple clients?

Freelance DevOps engineers often juggle varying project requirements, tech stacks, and deployment pipelines across different clients, which can be challenging. Managing communication and expectations remotely, adapting quickly to unfamiliar infrastructures, and ensuring secure access to client environments are common hurdles. Additionally, freelancers must stay up-to-date with the latest tools and best practices to remain competitive and deliver high-quality solutions. Effective time management and clear documentation help mitigate these challenges and foster successful client relationships.

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

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

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

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

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

Freelance Devops Engineer jobs near you
Infographic showing various Freelance Devops Engineer job openings in Michigan as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $109,741 per year, or $52.8 per hour.

Cloud DevOps Engineer

Sunset Grown

Livonia, MI • On-site

$49.25 - $67.50/hr

Full-time

Re-posted 2 days ago

Job description

Mastronardi Produce pioneered the commercial greenhouse industry in North America, and we're now the leading greenhouse vegetable company on the continent. Our award-winning, flavorful produce is packed under the SUNSET® brand and is available at leading grocery retailers across North America. Family owned for over 70 years, we pride ourselves on having the most flavorful products and the best people in the industry. We are constantly pushing boundaries to be a leader in fresh produce innovation. We seek individuals that demonstrate our PRIDE values (Passion, Respect, Innovation, Drive, Excellence) to help us fulfill our mission to inspire healthy living through WOW flavor experiences.
Our corporate office in Livonia, Michigan is currently seeking an DevOps Cloud Engineer to join our team! The Cloud/DevOps Automation Engineer owns the full lifecycle of Mastronardi's cloud infrastructure, DevOps practices, and AI platform operations - from provisioning and securing Azure infrastructure to deploying, integrating, monitoring, and scaling the automation and AI systems that increasingly run the business.
This role sits at the intersection of traditional infrastructure engineering and applied AI operations. It covers infrastructure-as-code, CI/CD, containerization, networking, and observability across Azure, as well as the deployment, integration, monitoring, and scaling of AI platforms such as Azure AI Foundry, Make.com automation scenarios, and the agentic workflows built by the AI Enablement team.
This is a hands-on individual contributor role: the Automation Engineer writes code and scripts, configures infrastructure, deploys and operates AI systems, and runs all of it directly in production - providing critical redundancy for cloud and AI-platform work that currently depends on a single person, and building the operational backbone that lets Mastronardi scale its automation and AI investments safely.
Values:
To perform the job successfully, the incumbent's behavior must be consistent with the PRIDE values expected of all Mastronardi Produce employees: be Passionate; have Respect; be Innovative; be Driven and strive for Excellence.
Primary Responsibilities:
Cloud Infrastructure & DevOps
  • Deploy and manage Azure infrastructure (VMs, networking, storage, identity) using infrastructure-as-code (ARM/Bicep, Terraform, or equivalent) rather than manual configuration.
  • Design, build, and maintain CI/CD pipelines (Azure DevOps, GitHub Actions, or equivalent) for infrastructure changes, automations, and AI platform deployments.
  • Build and maintain containerized workloads (Docker) and, where applicable, orchestration (Kubernetes/AKS or Azure Container Apps) for infrastructure and AI services.
  • Implement configuration management and patching practices to keep servers, VMs, and platform components current, consistent, and secure.
  • Design and maintain networking, identity, and access controls (Microsoft Entra ID, RBAC, network security groups) for infrastructure and platform integrations.
  • Build monitoring, logging, and alerting (Azure Monitor, Log Analytics, or equivalent) across infrastructure, automations, and AI systems so issues are caught before they affect the business.
  • Own backup, disaster recovery, and business continuity procedures for infrastructure and automation/AI platforms under this role's care.
  • Manage cloud cost and capacity planning, right-sizing resources and identifying optimization opportunities.
  • Participate in an on-call/incident response rotation, performing root-cause analysis and driving remediation for production issues.
  • Cross-train other Cloud Operations & Infrastructure team members to reduce single-person dependency across infrastructure, automation, and AI-platform responsibilities.

AI Platform Operations & Automation
  • Deploy, configure, and operate Azure AI Foundry agents, models, and endpoints, connecting them to the systems and data they need to run reliably in production.
  • Build, maintain, and troubleshoot automation scenarios in Make.com (and comparable platforms) that connect business systems, data sources, and AI capabilities.
  • Build and operate the infrastructure and integration layer that lets AI Enablement's agentic workflows execute reliably at scale - including queues, retries, and error handling for multi-step AI processes.
  • Implement observability specific to AI workloads - tracking latency, token usage/cost, and failure rates for LLM calls and agent runs - and alert on anomalies.
  • Manage versioning and rollout of AI models, prompts, and agent configurations, coordinating with the AI Enablement team so changes deploy safely without breaking production integrations.
  • Implement guardrails and access controls around AI platforms and agents to keep usage secure, auditable, and within approved scope.
  • Build and maintain integrations and connectors between Power Automate, Make.com, APIs, and enterprise systems (ERP, WMS, data platforms) that AI-driven processes depend on.
  • Support scaling of AI inference and automation workloads as usage grows, adjusting infrastructure and platform configuration to maintain performance.
  • Partner with the AI Enablement team to take AI solutions from a working build to a reliably operated, monitored production integration.
  • Evaluate and recommend new automation, orchestration, and AI infrastructure tooling as Mastronardi's AI and automation footprint expands.
  • Delivery, Documentation & Governance
  • Test infrastructure changes, automations, and AI deployments thoroughly before release, including functional testing, failure-mode testing, and rollback planning.
  • Maintain a library of reusable scripts, templates, and automation patterns to reduce single-person dependency and speed up delivery of future changes.
  • Create and maintain clear documentation for all infrastructure, automations, AI deployments, and operating procedures, so no single person is the only source of knowledge.
  • Ensure all infrastructure, automations, and AI platform work align with IT governance, security, and compliance standards.

Education/Background Requirements:
  • Bachelor's degree in computer science, information systems, or a related field.

Specific Knowledge, Skills and Abilities Required
  • Cloud & DevOps
  • Microsoft Azure: deploying and managing VMs, networking, storage, and identity using infrastructure-as-code (ARM/Bicep, Terraform, or equivalent).
  • CI/CD: building and maintaining pipelines (Azure DevOps, GitHub Actions, or equivalent) for infrastructure and application deployments.
  • Containerization: hands-on experience with Docker required; Kubernetes/AKS or Azure Container Apps is an asset.
  • Scripting/programming experience (PowerShell, Python, or similar) for infrastructure automation and custom integrations.
  • Networking and identity: experience with Microsoft Entra ID, RBAC, network security groups, and related access-control practices.
  • Monitoring and observability: experience with Azure Monitor, Log Analytics, Grafana, or equivalent for production infrastructure.
  • Backup, disaster recovery, and patching practices for production infrastructure.
  • Cloud cost management and optimization practices (Azure Cost Management or equivalent).
  • SQL: ability to query, join, and filter data across relational databases.
  • ERP or enterprise systems experience (Microsoft Dynamics NAV/365, SAP, or equivalent) is an asset
  • AI & Automation Platforms
  • Hands-on experience with Make.com (or a comparable integration/automation platform such as Zapier or n8n), including building, debugging, and maintaining production scenarios.
  • Experience deploying and operating AI platforms such as Azure AI Foundry - connecting agents and models to production systems and data.
  • Understanding of agentic AI and multi-step autonomous workflows, and how to operate and monitor them reliably in production.
  • Familiarity with LLM observability concepts - tracking latency, token usage/cost, and evaluating agent or model output quality in production.
  • Experience building and consuming REST APIs, webhooks, and system-to-system integrations connecting AI platforms to enterprise systems.
  • Microsoft Power Automate and Power Platform: building and maintaining automated workflows.
  • Understanding of AI governance and security practices - guardrails, access control, and auditability for production AI systems.
    • Exposure to MLOps/LLMOps concepts (model and prompt versioning, safe rollout practices) is an asset.

Working Conditions:
• Typical office environment.
Please note: Mastronardi Produce has accommodation processes and policies in place and provides accommodation for employees with disabilities. If you require a specific accommodation because of a disability or documented medical need, please contact the Human Resource office so that arrangements can be made for the appropriate accommodation to be put into place.
Equal Opportunity Employer
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.

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