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Operations Engineer Jobs in Canton, MI (NOW HIRING)

Mastronardi Produce Limited

Cloud DevOps Engineer

Livonia, MI · On-site

$49.25 - $67.50/hr

... s 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 ...

Sunset Grown

Cloud DevOps Engineer

Livonia, MI · On-site

$49.25 - $67.50/hr

... s 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 ...

General Motors

Staff Software DevOps Engineer

Warren, MI · On-site

$49.50 - $67.75/hr

We areseekinga highly skilled and experienced Staff Software Engineer to join our Continuous ... Influence cross-functional teams to adopt modern DevOps practices, resilient system design, and ...

General Motors

Staff Software DevOps Engineer

Milford, MI · On-site

$46.50 - $63.50/hr

We areseekinga highly skilled and experienced Staff Software Engineer to join our Continuous ... Influence cross-functional teams to adopt modern DevOps practices, resilient system design, and ...

Pi Square Technologies LLC

Senior DevOps Engineers

Detroit, MI · On-site

$128K - $165K/yr

... s Engineer to assist in the design, implementation, and support of our scalable, secure, and resilient cloud infrastructure. This role will drive our infrastructure automation, cloud services, and CI ...

EXOS

Monitoring Tools Engineer ? Operations

Warren, MI · Hybrid

$65K - $88K/yr

This is an operations engineering role and is best suited for candidates who enjoy hands on support, troubleshooting, infrastructure deployment, and continuous operational improvement. This position ...

FastTek

DevOps Specialist

Dearborn, MI · On-site

$48.50 - $66.50/hr

... s engineer or a similar software engineering role. * Experience with embedded systems build and development process preferred. * Team leadership experience highly preferred. * Detail Oriented * Must ...

Brooksource

Engineer III

Detroit, MI · On-site

$38 - $43/hr

Senior Systems Operations Engineer Location: Hybrid Pay Rate: $39-$43/hr About the Role Our client, a leading electric utility company, is seeking a Senior Systems Operations Engineer to support its ...

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Showing results 21-40

All JobsOperations Engineer JobsOperations Engineer Jobs in Canton, MI

Operations Engineer information

See Canton, MI salary details

$33.4K

$78.8K

$125.1K

How much do operations engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for operations engineer in Canton, MI is $78,800.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,400.00 and $87,100.00 per year, depending on experience, location, and employer.

What is an operations engineer?

Operations Engineers are professionals responsible for ensuring that a company's technical systems and processes run efficiently and effectively. They monitor, maintain, and optimize operations related to production, IT infrastructure, or other mission-critical systems. Their duties often include troubleshooting problems, implementing improvements, and coordinating with other teams to achieve organizational goals. Operations Engineers play a key role in minimizing downtime and maximizing productivity. They also help develop procedures and protocols to enhance safety, quality, and compliance.

What does an operations engineer do?

An operations engineer maintains a company's operations system. In this career, your primary responsibilities include designing heavy equipment layouts, assisting with technical operations, analyzing machinery, running tests, and implementing changes. You are in charge of conducting investigations and using engineering theories and principles to improve the computer systems. Your duties also include updating systems, repairing machinery, providing preemptive maintenance, and documenting operational procedures and processes. As an operations engineer, you must always be looking to improve quality and efficiency and cut costs.

What are the key skills and qualifications needed to thrive as an operations engineer?

To thrive as an Operations Engineer, you need a strong background in systems engineering, troubleshooting, and process optimization, often supported by a degree in engineering or a related field. Familiarity with monitoring tools, automation platforms, and IT infrastructure management systems, as well as certifications like AWS Certified SysOps Administrator or ITIL, is highly beneficial. Strong problem-solving abilities, teamwork, and effective communication set outstanding candidates apart. These skills and qualifications are crucial for ensuring reliable operations, minimizing downtime, and supporting continuous improvement in complex technical environments.

What are some of the most common challenges operations engineers face when supporting complex infrastructure, and how can they address them?

Operations Engineers often encounter challenges such as maintaining system uptime, quickly resolving incidents, and managing configuration changes across large, distributed environments. These tasks require strong troubleshooting skills and effective communication with both development and IT teams. Keeping up with evolving technologies and automating routine processes can help mitigate these challenges. Proactively monitoring systems and participating in regular cross-functional meetings also ensures smoother operations and quicker response to issues.

What is the difference between Operations Engineer vs Network Engineer?

AspectOperations EngineerNetwork Engineer
Required CredentialsBachelor's in Engineering, IT, or related field; certifications like Cisco CCNA, CompTIA Network+Bachelor's in Computer Science, IT, or related; Cisco CCNA, CCNP certifications
Work EnvironmentIT infrastructure, data centers, cloud environmentsNetwork infrastructure, data centers, enterprise networks
Employer & Industry UsageTech companies, data centers, cloud providersTelecommunications, ISPs, large enterprises
Common Search & Comparison IntentUnderstanding operational roles in IT infrastructureNetworking setup, maintenance, and troubleshooting

Operations Engineers focus on managing and optimizing overall IT and infrastructure operations, including cloud and data center environments. Network Engineers specialize in designing, implementing, and maintaining network systems. While both roles require networking certifications and work in similar environments, Operations Engineers have a broader scope, often overseeing multiple systems beyond just networks.

How much do operations engineers make in the US?

Operations engineers in the US typically earn a median annual salary of around $80,000 to $100,000, depending on experience, location, and industry. Salaries can vary widely based on factors such as certifications, technical skills, and the complexity of the operations managed.
More about Operations Engineer jobs

What job categories do people searching Operations Engineer jobs in Canton, MI look for?

The top searched job categories for Operations Engineer jobs in Canton, MI are:

What cities near Canton, MI are hiring for Operations Engineer jobs?

Cities near Canton, MI with the most Operations Engineer job openings:

Operations Engineer jobs near you
Infographic showing various Operations Engineer job openings in Canton, MI as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $78,800 per year, or $37.9 per hour.

Cloud DevOps Engineer

Livonia, MI • On-site

Mastronardi Produce Limited
Agriculture • 1 - 5K employees
Learn more about Mastronardi Produce Limitedexternal

$49.25 - $67.50/hr

Full-time

Re-posted 20 days ago

Mastronardi Produce rating

6.9

Company rating: 6.9 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

37th of 66 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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