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Remote Azure Devops Engineer Jobs in Arizona (NOW HIRING)

AI/ML Engineer - Remote

Phoenix, AZ · Remote

$200 - $350/hr

Follow modern secure coding, DevOps, and CI/CD practices. * Document technical decisions and ... Strong knowledge of cloud AI services, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex ...

Proven experience building, testing, and managing automated IaC pipelines in Azure DevOps (e.g., automated plan/apply workflows, drift detection, static analysis, and policy enforcement)

Proven experience building, testing, and managing automated IaC pipelines in Azure DevOps (e.g., automated plan/apply workflows, drift detection, static analysis, and policy enforcement)

Proven experience building, testing, and managing automated IaC pipelines in Azure DevOps (e.g., automated plan/apply workflows, drift detection, static analysis, and policy enforcement)

Senior DevSecOps Engineer

Phoenix, AZ · On-site +1

$113K - $155K/yr

This role is embedded within a collaborative DevOps function and is ideal for someone who enjoys ... Design, implement, and continuously improve secure Azure cloud architectures, networking ...

Azure AI Foundry Architect

Scottsdale, AZ · Remote

$64 - $83.25/hr

Remote (Onshore Preferred - 5 days onsite) Employment Type: Contract Domain: Retail About the Role ... operational excellence. The architect will work closely with business stakeholders, AI engineers ...

Azure AI Foundry Architect

Scottsdale, AZ · Remote

$64 - $83.25/hr

Remote (Onshore Preferred - 5 days onsite) Employment Type: Contract Domain: Retail About the Role ... operational excellence. The architect will work closely with business stakeholders, AI engineers ...

Follow modern secure coding, DevOps, and CI/CD practices. * Document technical decisions and ... Strong knowledge of cloud AI services, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex ...

Strong understanding of SDLC, cloud technologies (Azure preferred), system architecture, DevOps practices, and enterprise technology environments. * Experience managing project financials, budgets ...

Senior Software Engineer

Phoenix, AZ · Remote

$121K - $160K/yr

... remote data via SOAP, REST and JSON * 4+ years of experience in software development, with a focus ... , DevOps concepts Desired Qualifications: * Excellent verbal, written, and interpersonal ...

Showing results 21-40

Remote Azure Devops Engineer information

See Arizona salary details

$15

$56

$80

How much do remote azure devops engineer jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for remote azure devops engineer in Arizona is $56.41, according to ZipRecruiter salary data. Most workers in this role earn between $47.26 and $64.76 per hour, depending on experience, location, and employer.

What is a remote Azure DevOps engineer?

A Remote Azure DevOps Engineer is responsible for developing, implementing, and maintaining CI/CD pipelines, infrastructure automation, and cloud-based deployment processes using Microsoft Azure. They collaborate with development and operations teams to streamline software delivery, improve system reliability, and enhance security. Working remotely, they leverage tools like Azure DevOps, Terraform, Kubernetes, and scripting languages to optimize workflows and monitor cloud environments efficiently.

What are the most common daily responsibilities of a remote Azure DevOps engineer?

As a Remote Azure DevOps Engineer, your typical day involves designing, implementing, and managing CI/CD pipelines, automating infrastructure deployment using tools like ARM templates and Terraform, and ensuring the reliability and scalability of cloud environments. You’ll regularly monitor systems, resolve incidents, and collaborate closely with developers, QA teams, and other stakeholders to optimize workflows. Communication and coordination via digital tools play a significant role due to the remote nature of the job. This role often provides opportunities to work on diverse projects and adopt the latest cloud technologies, helping you grow your expertise and advance your career.

What are the key skills and qualifications needed to thrive in the remote Azure DevOps engineer position, and why are they important?

To thrive as a Remote Azure DevOps Engineer, you need a strong foundation in cloud infrastructure, automation, CI/CD pipelines, and scripting, usually supported by a degree in computer science or a related field. Hands-on experience with Microsoft Azure, tools like Azure DevOps, Terraform, and Docker, as well as certifications such as Microsoft Certified: Azure DevOps Engineer Expert are highly valued. Excellent problem-solving, collaboration, and communication skills are essential for remote teamwork and effective project delivery. These skills ensure efficient infrastructure management, smooth deployment processes, and seamless cross-functional collaboration in distributed environments.

What are popular job titles related to Remote Azure Devops Engineer jobs in Arizona?

For Remote Azure Devops Engineer jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Remote Azure Devops Engineer jobs in Arizona look for?

The top searched job categories for Remote Azure Devops Engineer jobs in Arizona are:

Infographic showing various Remote Azure Devops Engineer job openings in Arizona as of August 2026, with employment types broken down into 92% Full Time, 4% Part Time, and 4% Contract. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution, with an average salary of $117,332 per year, or $56.4 per hour.

AI/ML Engineer - Remote

YO AI Labs

Phoenix, AZ • Remote

$200 - $350/hr

Full-time

Posted 9 days ago


Job description

AI/ML Engineer

Job Type: Full-Time
Location: Remote

Job Summary

We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while contributing to proprietary AI infrastructure. You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications.

Key Responsibilities
  • Design, implement, and optimize AI/ML solutions using LLMs, RAG, and prompt engineering.
  • Develop and orchestrate multi-agent systems using LangGraph and LangChain.
  • Deploy AI solutions across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Build robust ETL and data pipelines, metadata catalogs, and ontologies for AI training and inference.
  • Develop and maintain REST APIs and SDK integrations.
  • Collaborate with product, security, and engineering teams to deliver secure, scalable solutions.
  • Follow modern secure coding, DevOps, and CI/CD practices.
  • Document technical decisions and communicate complex concepts effectively to technical and non-technical stakeholders.
Required Skills & Qualifications
  • Strong Python proficiency for AI/ML development, including REST APIs and SDK integrations.
  • Hands-on production experience with LLMs, RAG, and prompt engineering.
  • Experience with multi-agent orchestration, tool use, LangGraph, and LangChain.
  • Strong knowledge of cloud AI services, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Experience building data pipelines, ETL processes, metadata catalogs, and ontologies.
  • Strong understanding of secure coding and CI/CD practices.
  • Excellent written and verbal communication skills.
Preferred Qualifications
  • Experience with enterprise AI platforms such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
  • Knowledge of MCP, metadata catalog platforms, and advanced API development.
  • Experience working in government, regulated, or security-sensitive cloud environments.
  • Familiarity with relevant compliance and security standards.