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Azure Devops Jobs in Madison, WI (NOW HIRING)

DevOps Engineer II

Madison, WI · On-site +1

$83K - $97K/yr

We are seeking a DevOps Engineer to lead automation of deployment and upgrade processes for our Windows-based software products in Azure, while also contributing directly to the maintenance and ...

DevOps Engineer II

Madison, WI · On-site +1

$83K - $97K/yr

We are seeking a DevOps Engineer to lead automation of deployment and upgrade processes for our Windows-based software products in Azure, while also contributing directly to the maintenance and ...

We are seeking a DevOps Engineer to lead automation of deployment and upgrade processes for our Windows-based software products in Azure, while also contributing directly to the maintenance and ...

DevOps Engineer II

Madison, WI · On-site +1

$83K - $97K/yr

We are seeking a DevOps Engineer to lead automation of deployment and upgrade processes for our Windows-based software products in Azure, while also contributing directly to the maintenance and ...

DevOps Engineer III

Madison, WI · On-site

$53.25 - $72.75/hr

Knowledge of CI/CD tools like GitHub actions, Azure Devops pipelines, or Ansible for automation. * Scripting and automation experience with Bash, Python or similar scripting. Preferred Qualifications:

Manager of DevOps

Madison, WI · On-site

$53.25 - $72.75/hr

This role combines the functions of a DevOps Manager with platform engineering responsibilities for ... Oversee tasks related to Azure Kubernetes Service (AKS), including cluster management, scaling, and ...

Develops and maintains CI/CD pipelines using Azure DevOps or GitHub Actions to ensure reliable automated deployments. * Supports Azure governance and security requirements, including identity ...

... in Azure DevOps/GIT including keeping work items updated, code management and CI/CD. (4+ years) Nice to Have: • Experience working at DNR or in another Government agency. • Experience working ...

Java Developer

Madison, WI · On-site

$51.50 - $66.50/hr

Dell Boomi, Dynatrace, Microsoft Azure Devops Responsibilities: * Develop and maintain Java-based backend applications, ensuring high performance and scalability. * Good working experience using ...

Manager, Site Reliability Engineering

Middleton, WI · Remote

$58.25 - $77.50/hr

Experience with AI coding assistants and CI/CD systems (GitHub Actions, Azure DevOps, ArgoCD) with automation capabilities is preferred. * Knowledge of distributed systems patterns is preferred.

... Azure DevOps * 3 years - Requirements analysis * 3 years - Techniques to proactively prevent and reactively respond to security threats * 1 year - Experience with authentication and authorization ...

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Azure Devops information

See Madison, WI salary details

$16

$61

$87

How much do azure devops jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for azure devops in Madison, WI is $61.04, according to ZipRecruiter salary data. Most workers in this role earn between $51.15 and $70.05 per hour, depending on experience, location, and employer.

Will AI replace Azure DevOps?

Azure DevOps professionals focus on managing software development processes, automation, and continuous integration/continuous deployment (CI/CD). While AI tools can enhance productivity and automate certain tasks, they are unlikely to fully replace the need for skilled DevOps practitioners who oversee complex workflows, troubleshoot issues, and implement strategic solutions. AI serves as a complement rather than a substitute for human expertise in this role.

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

To thrive as an Azure DevOps Engineer, you need a strong background in software development, cloud computing (especially Microsoft Azure), and continuous integration/continuous deployment (CI/CD) practices, often supported by a degree in computer science or a related field. Familiarity with tools like Azure DevOps Services, PowerShell, Git, Docker, Kubernetes, and certifications such as Microsoft Certified: Azure DevOps Engineer Expert are highly valuable. Outstanding problem-solving abilities, effective communication, and a collaborative mindset help you navigate cross-functional teams and adapt to evolving project needs. These skills enable the efficient delivery, automation, and management of applications and infrastructure within dynamic enterprise environments.

Is Azure DevOps in demand?

Azure DevOps professionals are in high demand as organizations adopt cloud-based development and continuous integration/continuous deployment (CI/CD) practices. Skills in Azure DevOps tools, automation, and cloud environments are valuable for roles involving software development, deployment, and infrastructure management.

Is DevOps still in demand in 2026?

DevOps roles, including Azure DevOps specialists, are expected to remain in high demand through 2026 due to ongoing digital transformation and the need for continuous integration and deployment skills. Professionals with expertise in automation, cloud platforms, and CI/CD tools are particularly sought after in various industries.

What is the difference between Azure Devops vs DevOps Engineer?

AspectAzure DevopsDevOps Engineer
CertificationsAzure certifications, Azure DevOps certificationsCloud certifications (AWS, Azure), DevOps certifications
Work EnvironmentPrimarily Microsoft Azure cloud platform, Azure toolsVarious cloud platforms, automation, CI/CD pipelines
Employer UsageOrganizations using Microsoft Azure for cloud services
Search & Comparison IntentFocus on Azure-specific tools and services

Azure Devops is a platform for managing software development lifecycle within Microsoft Azure, while a DevOps Engineer is a role that encompasses implementing and managing CI/CD pipelines across various platforms, including Azure, AWS, or GCP. The role of a DevOps Engineer is broader, involving automation, infrastructure as code, and cross-platform integrations, whereas Azure Devops is a specific toolset used by Azure-focused teams.

What is an Azure DevOps engineer?

An Azure DevOps engineer is a professional who specializes in implementing and managing DevOps practices using Microsoft's Azure platform. They are responsible for automating processes, setting up continuous integration and continuous delivery (CI/CD) pipelines, managing infrastructure as code, monitoring applications, and ensuring collaboration between development and operations teams. Their goal is to streamline software development and deployment while maintaining security and reliability in cloud environments.

What are the most common challenges faced by Azure DevOps professionals in managing CI/CD pipelines?

Azure DevOps professionals often face challenges such as integrating diverse tools into the CI/CD pipeline, maintaining security throughout the deployment process, and ensuring consistency across multiple environments. Balancing speed of deployment with quality assurance is also a frequent concern, especially when collaborating with multiple development teams. Regular communication with stakeholders and ongoing monitoring of pipeline health are crucial to proactively address these issues.

Is DevOps dead due to AI?

Azure DevOps professionals continue to be in demand as AI tools enhance automation and efficiency in software development and deployment. While AI impacts certain tasks, DevOps roles now often require integrating AI and machine learning skills, making the role evolving rather than obsolete.
What are popular job titles related to Azure Devops jobs in Madison, WI? For Azure Devops jobs in Madison, WI, the most frequently searched job titles are:
What job categories do people searching Azure Devops jobs in Madison, WI look for? The top searched job categories for Azure Devops jobs in Madison, WI are:
Senior DevOps Analyst

$131K - $168K/yr

Full-time

Posted 8 days ago


Job description

Position Purpose
Leads the design, implementation, and maturity of AI-enabled DevOps platforms, with a focus on Microsoft Copilot, GitHub Copilot, AI agents, and intelligent automation. Partners with technology and business stakeholders to enable scalable adoption of AI-assisted development and automation. Serves as a technical platform leader and advisor, integrating AI tools and agent-based solutions into Azure DevOps workflows and software development practices. Establishes standards, patterns, and best practices to ensure secure, reliable, and governed AI-enabled solutions while accelerating delivery through modern DevOps and continuous improvement.
Core Responsibilities
Note: This is not an all-inclusive listing
  • Design, build, deploy, and operate AI agents and intelligent automation solutions, including LLM-powered and multi-agent systems.
  • Lead the adoption of Microsoft Copilot, GitHub Copilot, and Copilot Studio to enable AI-assisted development and improve engineering productivity.
  • Serve as a technical advisor to DevOps, application, and platform teams on AI-enabled development, automation, and agent-based solutions.
  • Design and maintain Azure DevOps CI/CD pipelines supporting AI-assisted development, automated testing, and continuous delivery.
  • Partner with software engineering, enterprise architecture, and product teams to integrate AI-driven capabilities into application and platform solutions.
  • Architect and manage secure, scalable Azure infrastructure for AI workloads using infrastructure-as-code practices.
  • Establish and operationalize DevOps and MLOps practices, including versioning, monitoring, governance, and lifecycle management of AI systems.
  • Implement and maintain observability solutions (logging, metrics, tracing, and alerting) for distributed and AI-driven systems.
  • Define and enforce security, compliance, and governance standards across AI systems, pipelines, and cloud platforms.
  • Evaluate emerging AI and DevOps technologies to improve reliability, developer productivity, and operational efficiency.
  • Optimize scalability, performance, and cost for AI-enabled platforms and compute-intensive workloads.
Behavioral Competencies
Note: These are in addition to MGE's Core Competencies
  • Manages Complexity - Navigates sophisticated technical environments and ambiguous AI challenges effectively.
  • Drives Results - Consistently delivers high-quality, scalable solutions in fast-paced environments.
  • Collaborates - Builds strong partnerships across engineering, data science, and business teams.
  • Instills Trust - Gains credibility through technical expertise and reliable execution.
  • Strategic Mindset - Anticipates future AI and technology trends and aligns solutions with long-term objectives.
Skills
  • Strong experience building, operating, and enabling AI agents, intelligent automation, and AI-assisted development workflows.
  • Hands-on experience with Microsoft Copilot, GitHub Copilot, Copilot Studio, or similar AI-assisted engineering tools.
  • Deep mastery of Azure DevOps and modern DevOps practices, including CI/CD, Git, GitHub, infrastructure as code, automation, and platform reliability.
  • Expert-level experience within the Microsoft ecosystem, including Azure, Azure DevOps, GitHub Enterprise, and Azure-native services.
  • Strong understanding of LLM concepts, agent orchestration frameworks, and prompt engineering (e.g., LangChain, AutoGen, CrewAI).
  • Experience operationalizing AI and ML systems, including deployment, monitoring, governance, and lifecycle management.
  • Expertise in infrastructure as code using Terraform, Bicep, ARM templates, or similar frameworks.
  • Advanced experience with containerization and orchestration technologies such as Docker and Kubernetes.
  • Strong programming and automation skills using Python, PowerShell, Bash, or similar languages.
  • Experience implementing observability solutions using Azure Monitor, Log Analytics, Application Insights, or equivalent tools.
  • Advanced Git usage, branching strategies, and pull request workflows.
  • Strong understanding of security, identity, and compliance considerations in cloud and AI-enabled environments.
  • Proven ability to lead, enable, and influence DevOps and AI adoption across multiple teams.
Education
Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field required; an equivalent combination of education and experience may be considered.
Relevant certifications preferred, such as:
  • Microsoft Certified: Azure DevOps Engineer Expert
  • Microsoft Certified: Azure AI Engineer Associate
  • Kubernetes certifications (CKA, CKAD)
  • Azure or GitHub architecture certifications
Experience
  • 7+ years of experience in DevOps, Platform Engineering, Site Reliability Engineering, or related roles supporting complex, cloud-based environments.
  • 3+ years of hands-on experience enabling or supporting AI-driven systems, intelligent automation, or AI-assisted development in production environments.
Work Location
  • This hybrid role is based at our Madison, WI headquarters. While three days onsite is the minimum, team collaboration and business needs may require additional in-office presence.
  • This position may require participation in on-call rotations and occasional off-hours support to ensure platform reliability and availability.

Pre-employment will require satisfactory completion of a background check and drug screen.
We are an AA/EOE employer and consider all qualified candidates without regard to protected status.