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Devops Engineer Remote Jobs in Arizona (NOW HIRING)

YO AI Labs

RL Environment Engineer - Remote

Phoenix, AZ · Remote

$80 - $120/hr

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating ...

YO AI Labs

Infrastructure Expert - Remote

Phoenix, AZ · Remote

$30 - $80/hr

Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI-powered workflows across software development, cloud infrastructure, DevOps, SRE, and platform ...

YO AI Labs

AI/ML Software Engineer - Remote

Phoenix, AZ · Remote

$80 - $120/hr

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating ...

Cisco

Senior Software Engineer (Remote)

Phoenix, AZ · Remote

$121K - $160K/yr

This is a remote role anywhere in the USA. Meet the Team Our software engineering team develops ... developer-facing security tooling. * Knowledge of production monitoring, incident response ...

First Citizens Bank

Senior Java Engineer (Remote)

Phoenix, AZ · On-site +1

$119K - $157K/yr

Overview This is a remote role that may only be hired in the following location(s): AZ, NC and TX. ... Innate desire to create a superlative developer experience down to the last detail. * Deep love of ...

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Devops Engineer Remote information

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How much do devops engineer remote jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for devops engineer remote 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 DevOps engineer?

As a remote DevOps engineer, you help manage the development of software for use on a company network system. In this role, you work from home using the phone, email, video chat, or other methods of communication to stay in touch with other developers and users throughout the lifecycle of each product. You typically work with a team to ensure rapid and consistent development. This is a relatively new term, but in general, DevOps focuses on having operations and development engineers participate in a full-service lifecycle to help support end-users and ensure the software becomes the best possible product.

What is a remote DevOps engineer?

DevOps Engineers (Remote) are IT professionals who collaborate with development and operations teams to automate, streamline, and improve software development and deployment processes from remote locations. They focus on integrating code, managing infrastructure, monitoring systems, and ensuring continuous integration and delivery (CI/CD) pipelines are efficient and reliable. Working remotely, they use cloud-based tools and platforms to manage servers, deploy applications, and maintain high system reliability without being physically present in an office. Their role is crucial in accelerating development cycles, reducing errors, and ensuring seamless collaboration between dispersed teams.

How to become a remote DevOps engineer?

To become a remote DevOps engineer, you typically need at least a bachelor’s degree in software engineering, information technology, or computer science and relevant work experience. You must also have familiarity with coding and IT protocols, as well as knowledge of infrastructure code, agile workflow processes, and the various roles that software and IT play in the product life cycle. Because this is a work from home position, you need to have strong time management skills, the ability to work independently, and reliable internet and phone connection.

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

To thrive as a Remote DevOps Engineer, you need strong skills in software development, infrastructure management, automation, and a solid understanding of cloud platforms, often backed by a relevant degree or certifications like AWS Certified DevOps Engineer. Familiarity with tools such as Jenkins, Docker, Kubernetes, Terraform, and CI/CD pipelines is typically required. Excellent problem-solving, collaboration, and communication skills are crucial, especially when working remotely with distributed teams. These skills and qualities are essential for ensuring seamless deployment, system reliability, and effective teamwork in dynamic, cloud-based environments.

How does a remote DevOps engineer typically collaborate with development and IT teams?

As a remote DevOps Engineer, collaboration is often achieved through a mix of communication tools like Slack, Jira, and video conferencing platforms. You'll participate in regular stand-ups, planning meetings, and code reviews to stay aligned with both development and IT operations teams. Effective documentation and clear communication are essential, as you'll often troubleshoot issues or update CI/CD pipelines asynchronously. Remote DevOps Engineers also frequently use shared dashboards and monitoring tools to ensure transparency and rapid response to incidents.

Are Devops engineers still in demand?

Devops engineers remain in high demand due to the ongoing need for automation, continuous integration, and cloud infrastructure management. Organizations seek professionals skilled in tools like Docker, Kubernetes, and cloud platforms to improve deployment efficiency and reliability.

Can a Devops Engineer Remote work remotely?

Yes, many Devops Engineers can work remotely, as the role primarily involves managing infrastructure, automation, and cloud services that can be accessed online. Remote work is common in this field, especially with skills in tools like Docker, Kubernetes, and cloud platforms such as AWS or Azure. However, some positions may require on-site presence for collaboration or specific hardware access.

Is 40 too old to learn a Devops Engineer Remote?

Age is not a barrier to becoming a Devops Engineer. Many professionals successfully transition into Devops roles at various ages by gaining skills in automation, scripting, cloud platforms, and tools like Docker and Kubernetes, often through online courses and certifications. Employers value skills and experience over age, and continuous learning is common in the tech industry.
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Devops Engineer Remote jobs near you
Infographic showing various Devops Engineer Remote job openings in Arizona as of August 2026, with employment types broken down into 92% Full Time, 3% Part Time, 2% Temporary, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $117,332 per year, or $56.4 per hour.

Machine Learning Engineer - Remote

YO AI Labs

Phoenix, AZ • Remote

$80 - $120/hr

Full-time

Posted 6 days ago

Job description

Senior Software Engineer

Job Type: Contractor (~15 hours/week)
Location: Remote

Job Summary

We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools.

You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required.

Key Responsibilities
  • Create reinforcement learning environments for software engineering tasks.
  • Design tasks involving bug fixing, feature development, refactoring, and performance optimization.
  • Build deterministic verification systems and golden reference solutions.
  • Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively.
  • Develop realistic, reproducible software engineering scenarios.
  • Ensure tasks accurately measure coding ability, problem-solving, and tool usage.
  • Document solutions and provide clear technical feedback.
Required Skills
  • Strong proficiency in Python 3, Java, Rust, C++, or TypeScript.
  • Strong understanding of algorithms and data structures.
  • Experience with bug fixing and debugging complex software issues.
  • Proven experience in feature implementation and codebase refactoring.
  • Strong knowledge of performance optimization and tuning.
  • Excellent written and verbal communication.
  • Strong attention to detail.
Preferred Qualifications
  • Experience working with large-scale or distributed codebases.
  • Familiarity with AI/ML systems is a plus but not required.
  • Experience with rigorous code reviews and software engineering best practices.
  • Experience working effectively in remote or cross-functional teams.
Hiring Process
  1. Submit an application and screening questions.
  2. Complete an AI interview (~30 minutes).
  3. Complete a technical assessment, if required.
  4. Hiring Manager review.
Compensation

Compensation is output-based, with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply.

Availability

Selected experts should be prepared to begin their first tasks within 24–48 hours of completing onboarding.