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Senior Devops Engineer Jobs in Novi, MI (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 ...

MM International

DevOps Senior Specialist

Dearborn, MI · On-site

$119K - $153K/yr

Role: DevOps Senior Specialist Location: Work location Dearborn, MI Additional Information: Resources FULLY ONSITE 5 DAYS a week. Teams Video interview 1 hour - 1 round · Employees in this job ...

Adecco

Senior Operations Engineer

Canton, MI · On-site +1

$101K - $110K/yr

Senior Operations Engineer Location: Canton, MI Employment Type: Direct Hire, Full-Time Salary: $101,000-$110,000 annually, based on experience Travel: Approximately 75% nationwide travel The Adecco ...

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 ...

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Senior Devops Engineer information

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$66.6K

$139K

$184.8K

How much do senior devops engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for senior devops engineer in Novi, MI is $139,005.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,000.00 and $156,700.00 per year, depending on experience, location, and employer.

What is a senior DevOps engineer?

Senior DevOps Engineers are experienced IT professionals who bridge the gap between software development and IT operations. They are responsible for automating processes, managing infrastructure, optimizing deployment pipelines, and ensuring system reliability and scalability. Their role often involves collaborating with developers, system administrators, and other stakeholders to streamline workflows, implement best practices, and enhance the speed and quality of software delivery. Senior DevOps Engineers typically have strong skills in cloud platforms, scripting, CI/CD tools, and monitoring solutions.

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

To thrive as a Senior DevOps Engineer, you need deep expertise in software development, systems administration, automation, and cloud infrastructure, typically supported by a relevant degree and several years of hands-on experience. Proficiency with tools such as Docker, Kubernetes, Jenkins, Terraform, AWS/Azure/GCP, and CI/CD pipelines, along with certifications like AWS Certified DevOps Engineer, is common. Strong problem-solving, collaboration, and communication skills are essential for coordinating across development and operations teams. These skills and qualities are crucial for ensuring reliable, scalable, and efficient delivery of software in complex, fast-paced environments.

What are some typical challenges senior DevOps engineers face when optimizing CI/CD pipelines, and how can they address them?

Senior DevOps Engineers often encounter challenges such as managing complex dependencies, ensuring pipeline reliability, and balancing speed with security. Addressing these issues involves implementing automated testing, using containerization tools like Docker to standardize environments, and collaborating closely with development and QA teams to quickly identify and resolve bottlenecks. Regularly reviewing and refining pipeline processes, as well as staying updated on the latest DevOps tools and best practices, can help maintain an efficient and secure deployment workflow.

What is the difference between Senior Devops Engineer vs Devops Engineer?

AspectSenior Devops EngineerDevops Engineer
Required CredentialsBachelor's degree in CS or related field, certifications like AWS, Azure, or DockerBachelor's degree in CS or related field, certifications like AWS, Docker, or Kubernetes
Work EnvironmentLead projects, mentor junior staff, design infrastructure solutionsImplement CI/CD pipelines, automate deployment, monitor systems
Employer & Industry UsageTech companies, startups, enterprises focusing on cloud and automationSame as Senior Devops Engineer, often entry to mid-level roles

The main difference between a Senior Devops Engineer and a Devops Engineer lies in experience, responsibilities, and leadership. Senior Devops Engineers typically lead projects, mentor teams, and design complex infrastructure, while Devops Engineers focus on implementing and maintaining automation and deployment pipelines. Both roles require similar certifications and are vital in cloud and automation environments.

Are senior DevOps engineers still in demand?

Senior DevOps engineers remain in high demand due to the ongoing need for automation, cloud infrastructure management, and continuous integration/continuous deployment (CI/CD) expertise. Organizations seek experienced professionals skilled in tools like Docker, Kubernetes, and cloud platforms to improve efficiency and scalability.

What does a senior DevOps engineer do?

A senior DevOps engineer is responsible for designing, implementing, and maintaining automated deployment, integration, and infrastructure processes to improve software development efficiency. They often work with tools like Jenkins, Docker, and Kubernetes, and collaborate with development and operations teams to ensure reliable, scalable, and secure systems. Additionally, they may oversee system monitoring, performance tuning, and security practices to support continuous delivery and deployment pipelines.

What are the most commonly searched types of Devops Engineer jobs in Novi, MI?

The most popular types of Devops Engineer jobs in Novi, MI are:

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For Senior Devops Engineer jobs in Novi, MI, the most frequently searched job titles are:

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The top searched job categories for Senior Devops Engineer jobs in Novi, MI are:

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Cities near Novi, MI with the most Senior Devops Engineer job openings:

Senior Devops Engineer jobs near you

Cloud DevOps Engineer

Mastronardi Produce Limited

Livonia, MI • On-site

$49.25 - $67.50/hr

Full-time

Re-posted 18 days ago

Mastronardi Produce rating

6.9

Company rating: 6.9 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

36th 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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