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Azure Devops Jobs in Boston, MA (NOW HIRING)

DevOps Expert - Remote

Boston, MA · Remote

$30 - $80/hr

Work with AWS, Azure, GCP, Kubernetes, Docker, Terraform, and CI/CD environments. * Review workflows involving GitHub, GitLab, Azure DevOps, and JIRA . * Assess AI agents and workplace connectors ...

DevOps Expert - Remote

Boston, MA · Remote

$30 - $80/hr

Work with AWS, Azure, GCP, Kubernetes, Docker, Terraform, and CI/CD environments. * Review workflows involving GitHub, GitLab, Azure DevOps, and JIRA . * Assess AI agents and workplace connectors ...

Senior DevOps Engineer

Boston, MA · Remote

$150K - $190K/yr

Modernize and standardize Azure DevOps pipelines supporting Foley's .NET SaaS platform, improving reliability, speed, and consistency. * Design and implement GitHub Enterprise and GitHub Actions ...

Senior DevOps Engineer

Boston, MA · Remote

$120K - $160K/yr

As a DevOps engineer at Level Data, you will be responsible for developing and maintaining ... AWS and Azure, as well as datacenter environments. You will be expected to utilize modern ...

DevOps Engineer II

Boston, MA · Remote

$100K - $135K/yr

Build and maintain CI/CD pipelines using tools such as Flux CD, GitLab, and Azure DevOps. ... Troubleshoot pipeline failures, improve build reliability and speed, and apply existing pipeline ...

DevOps Engineer

Boston, MA · On-site

$60 - $100/hr

Design and manage scalable cloud infrastructure in AWS and/or Azure, ensuring reliability ... Build and optimize CI/CD pipelines using GitHub Actions, GitLab CI, Azure DevOps, or Jenkins ...

DevOps and MuleSoft Engineer

Wilmington, MA · On-site

$57.75 - $79/hr

Integrate Maven builds with Azure Pipelines for MuleSoft applications. Integrate automated testing ... Ensure DevOps best practices are adopted across projects and platforms. Ensure compliance with ...

Senior AI DevOps Engineer

Boston, MA · Hybrid

$95K - $142K/yr

Vertex is seeking a highly skilled Senior Azure DevSecOps Engineer to design, implement, secure ... Implement observability, monitoring, logging, alerting, and operational excellence practices to ...

Kubernetes Admin

Burlington, MA · Remote

$57.50 - $78.50/hr

The ideal candidate will have strong expertise in Kubernetes, Azure cloud services, DevOps practices, automation, and container orchestratio · Design, deploy, and manage Azure Kubernetes Service ...

DevOps Engineer

Boston, MA · On-site

$90K - $110K/yr

Azure DevOps, GitHub, Octopus Deploy or similar CI\CD pipeline * Managing AWS and/or Azure environments for scalable distributed processing * Managing web services and web sites, including firewall ...

Cloud Migration Expert - Microsoft Azure

Boston, MA · On-site

$69 - $90/hr

Microsoft Azure (IaaS, PaaS, Networking, Security) • Azure Migrate, Azure Site Recovery, Azure Backup • Azure Active Directory & RBAC • Azure DevOps / CI-CD pipelines • Azure SQL, Storage ...

DevOps Engineer

Boston, MA · On-site

$90K - $110K/yr

Azure DevOps, GitHub, Octopus Deploy or similar CI\CD pipeline * Managing AWS and/or Azure environments for scalable distributed processing * Managing web services and web sites, including firewall ...

Showing results 21-40

Azure Devops information

See Boston, MA salary details

$17

$65

$93

How much do azure devops jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for azure devops in Boston, MA is $65.76, according to ZipRecruiter salary data. Most workers in this role earn between $55.10 and $75.48 per hour, depending on experience, location, and employer.

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 key skills and qualifications needed to thrive as an Azure DevOps engineer?

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.

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.

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.

Is Azure DevOps in demand?

Azure DevOps professionals are in high demand due to the increasing adoption of cloud-based development and continuous integration/continuous deployment (CI/CD) practices. Skills in Azure DevOps tools, automation, and cloud environments are valuable for organizations seeking efficient software delivery pipelines.

What are jobs in Azure DevOps?

Jobs in Azure DevOps refer to roles that involve managing and implementing software development processes using Azure DevOps tools and services. These roles typically require skills in CI/CD pipelines, version control, automation, and cloud deployment, and may include positions like DevOps Engineer, Azure Engineer, or Release Manager.

What are popular job titles related to Azure Devops jobs in Boston, MA?

For Azure Devops jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Azure Devops jobs in Boston, MA look for?

The top searched job categories for Azure Devops jobs in Boston, MA are:

Infographic showing various Azure Devops job openings in Boston, MA as of August 2026, with employment types broken down into 88% Full Time, 7% Part Time, and 5% Contract. Highlights an 76% Physical, 8% Hybrid, and 16% Remote job distribution, with an average salary of $136,780 per year, or $65.8 per hour.

DevOps Expert - Remote

YO AI Labs

Boston, MA • Remote

$30 - $80/hr

Full-time

Posted 10 days ago


Job description

Developer & Infrastructure Expert

Role Type: Contractor
Location: Remote

Job Overview

We are seeking experienced Developer & Infrastructure Experts to evaluate AI-powered workflows across software development, cloud infrastructure, DevOps, SRE, and platform engineering. You will test AI-generated commands, configurations, and workflows and provide practical feedback based on real-world engineering standards.

No prior AI experience is required—your technical expertise and infrastructure knowledge are what matter most.

Key Responsibilities
  • Test and validate AI-assisted workflows across DevOps, cloud, infrastructure, and platform engineering.
  • Evaluate AI-generated commands, configurations, scripts, and deployment workflows for accuracy and reliability.
  • Work with AWS, Azure, GCP, Kubernetes, Docker, Terraform, and CI/CD environments.
  • Review workflows involving GitHub, GitLab, Azure DevOps, and JIRA.
  • Assess AI agents and workplace connectors across tools such as Slack, Google Drive, and Microsoft 365.
  • Identify technical errors, security or reliability concerns, and workflow gaps.
  • Document findings and provide clear, actionable feedback.
  • Recommend improvements based on real-world engineering practices and industry standards.
  • Collaborate remotely with project stakeholders through written evaluations and virtual discussions.
Required Skills
  • Azure DevOps
  • Cloud Infrastructure
  • Site Reliability Engineering (SRE)
  • Platform Engineering
  • AWS / Azure / GCP
  • Kubernetes / Docker
  • Terraform
  • CI/CD
  • GitHub / GitLab / JIRA
  • Observability
  • ChatGPT Work
  • Claude Code
  • Claude Cowork
  • AI Agents
  • Workplace Connectors
Preferred Qualifications
  • Professional experience in software engineering, DevOps, SRE, cloud, platform, or infrastructure engineering.
  • Hands-on experience with major cloud platforms, Kubernetes, Docker, Terraform, CI/CD, and observability tools.
  • Experience with developer workflow and project management platforms such as GitHub, GitLab, Azure DevOps, and JIRA.
  • Experience using AI agents such as ChatGPT, Claude Code, Claude Cowork, or Codex in development or infrastructure workflows.
  • Strong ability to evaluate technical processes and provide actionable feedback.
  • Excellent written and verbal communication skills.
  • Experience with workplace connectors, automation, or AI-powered infrastructure workflows is a plus.