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Cloud Developer Jobs in Michigan (NOW HIRING)

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 ...

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 ...

excellerent solutions

Cloud Foundry Developer

Detroit, MI

$55.75 - $76.25/hr

Cloud Foundry / AWS / Heroku is also a plus * Object-oriented programming, a basic for coders * Some combination of Python, Perl and PHP * Good understanding on Cloud applications architecture and ...

excellerent solutions

Cloud Foundry Developer

Detroit, MI · On-site

$55.75 - $76.25/hr

Cloud Foundry / AWS / Heroku is also a plus * Object-oriented programming, a basic for coders * Some combination of Python, Perl and PHP * Good understanding on Cloud applications architecture and ...

Merican

Cloud Engineer

Dimondale, MI · On-site

$59.25 - $79.25/hr

Solid understanding and skill with DevOps, web services and application programming interfaces (APIs). * Create, maintain, and troubleshooting skills for cloud infrastructure * Foundational ...

Stefanini

Cloud Engineer

Dearborn, MI · On-site

$51.25 - $68.50/hr

... DevOps, Platform Engineering, or SRE rolesHands-on experience managing Kubernetes clusters (EKS or ... Cloud Platform cloud platformsExperience with monitoring and observability tools (Prometheus ...

Aptiv PLC

Senior Cloud Engineer

Troy, MI · On-site

$52.75 - $70.50/hr

Integrate containerization into DevOps * Build secure-by-design containers * Familiar with container orchestration tools such as EKS, AKS, ECS-A, OpenShift etcetera * Monitor and manage cloud spend ...

Aptiv

Senior Cloud Engineer

Troy, MI

$52.75 - $70.50/hr

Integrate containerization into DevOps * Build secure-by-design containers * Familiar with container orchestration tools such as EKS, AKS, ECS-A, OpenShift etcetera * Monitor and manage cloud spend ...

FastTek

Cloud Engineer

Dearborn, MI

$51.25 - $68.50/hr

Cloud Engineer #1061447 * Employees in this job function are responsible for designing, building and deploying cloud-based infrastructure and managed services to achieve scalability, flexibility and ...

Tech Tammina LLC

Cloud Engineer III

Jackson, MI · On-site

$50.75 - $67.75/hr

Role: Cloud Engineer III Location: Jackson, MI (Hybrid) Duration: Long term Technical Skills: · Azure app service, front door, VNet design & segmentation, Hybrid Connectivity, Load Balancing ...

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How much do cloud developer jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for cloud developer in Michigan is $53.79, according to ZipRecruiter salary data. Most workers in this role earn between $47.16 and $64.52 per hour, depending on experience, location, and employer.

What is a cloud developer?

A Cloud Developer is a software engineer who specializes in designing, building, and maintaining applications that run on cloud computing platforms like AWS, Microsoft Azure, or Google Cloud. They leverage cloud services to create scalable, resilient, and cost-effective solutions, often using modern programming languages and frameworks. Cloud Developers are responsible for deploying code, managing cloud resources, ensuring security, and optimizing performance within cloud environments. Their work enables businesses to take advantage of the flexibility and scalability offered by the cloud.

What are the key skills and qualifications needed to thrive as a cloud developer, and why are they important?

To thrive as a Cloud Developer, you need strong programming skills (such as Python, Java, or Node.js), a solid understanding of cloud architecture, and experience with cloud platforms like AWS, Azure, or Google Cloud; a relevant degree is often preferred. Proficiency with containerization tools (e.g., Docker, Kubernetes), CI/CD pipelines, and certifications such as AWS Certified Developer or Google Professional Cloud Developer are typically valued. Excellent problem-solving abilities, teamwork, and effective communication help distinguish top performers in this role. These skills and qualities are crucial for building scalable, secure, and efficient cloud-based solutions that meet business needs.

Is cloud developer an entry level job?

A cloud developer role can be entry level if it requires basic knowledge of cloud platforms like AWS or Azure and programming skills in languages such as Python or Java. However, many positions prefer candidates with some experience or certifications, making some roles more suitable for those with intermediate skills.

What are some common challenges faced by cloud developers when migrating legacy applications to the cloud?

Cloud Developers often encounter challenges such as refactoring monolithic architectures, addressing compatibility issues, and ensuring data integrity during migration. Adapting existing applications to leverage cloud-native services may require significant code changes and coordination with other teams, such as security and operations. Effective communication, thorough planning, and a clear understanding of both the legacy and target cloud environments are essential to minimize downtime and ensure a smooth transition.

Is a cloud developer a good career?

A cloud developer is a viable career choice as it involves designing and implementing cloud-based applications using platforms like AWS, Azure, or Google Cloud. The role typically requires skills in programming, cloud architecture, and certifications, and offers strong job growth and competitive salaries in the technology industry.

What is a cloud developer?

A cloud developer implements engineering principles to develop cloud storage solutions for customers. As a cloud developer, you consult with your clients about their goals and needs and create storage, sharing, and computing services that meet those requirements. You may use a variety of programming languages, data storage techniques, and developer tools to build the appropriate storage architecture. Your duties also involve documenting the design process and providing technical support to users.

What is the difference between Cloud Developer vs Cloud Engineer?

AspectCloud DeveloperCloud Engineer
Primary FocusDeveloping cloud-based applications and servicesDesigning, implementing, and managing cloud infrastructure
Skills & CertificationsProgramming, cloud SDKs, APIs, certifications like AWS Developer or Azure DeveloperCloud architecture, deployment, automation, certifications like AWS Solutions Architect or Azure Solutions Architect
Work EnvironmentCollaborates with developers, product teams, often in software development settingsWorks with infrastructure, operations, and deployment teams in cloud environments

While both roles involve cloud technologies, Cloud Developers focus on creating cloud applications, whereas Cloud Engineers handle cloud infrastructure and deployment. Understanding these differences helps in choosing the right career path or job focus in cloud computing.

More about Cloud Developer jobs
What are the most commonly searched types of Cloud Developer jobs in Michigan? The most popular types of Cloud Developer jobs in Michigan are:
What are popular job titles related to Cloud Developer jobs in Michigan? For Cloud Developer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Cloud Developer jobs in Michigan look for? The top searched job categories for Cloud Developer jobs in Michigan are:
What cities in Michigan are hiring for Cloud Developer jobs? Cities in Michigan with the most Cloud Developer job openings:
What are popular job titles related to Cloud Developer jobs in MI? For Cloud Developer jobs in MI, the most frequently searched job titles are:
Cloud Developer jobs near you
Infographic showing various Cloud Developer job openings in Michigan as of July 2026, with employment types broken down into 90% Full Time, 5% Part Time, 4% Contract, and 1% Nights. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $111,882 per year, or $53.8 per hour.

Cloud DevOps Engineer

Mastronardi Produce Limited

Livonia, MI • On-site

$49.25 - $67.50/hr

Full-time

Posted 17 days ago

Mastronardi Produce rating

6.9

Company rating: 6.9 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

33rd of 65 rated farming

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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