2

Remote Ansible Engineer Jobs in Arizona (NOW HIRING)

... Engineer Role Type: Contractor Location: Remote Job Overview We are seeking experienced DevOps ... Infrastructure as Code experience with Terraform, Ansible, Pulumi, or CloudFormation. * Advanced ...

Sr Software Engineer

Chandler, AZ · Remote

$120K - $159K/yr

... as Ansible, Lambdas , etc. Experience with software lifecycle and development tools such as Linux ... and remote conferencing tools Experience and ability to lead and/or participate in teams and in ...

Python Developer [Job ID 20260707]

Phoenix, AZ · Remote

$50 - $68.75/hr

This is a 100% remote, work-from-home position anywhere in the continental United States ... Configuration management experience with Ansible/Terraform/Chef/Puppet * Experience with container ...

Remote Ansible Engineer information

What is the difference between Remote Ansible Engineer vs Remote DevOps Engineer?

AspectRemote Ansible EngineerRemote DevOps Engineer
CertificationsRed Hat Ansible certifications, Linux certificationsAWS, Azure, Docker, Kubernetes certifications
Work EnvironmentFocus on automation, configuration management, scriptingBroader scope including CI/CD, infrastructure, automation
Industry UsageIT, cloud management, system administrationSoftware development, cloud services, infrastructure management

Remote Ansible Engineers specialize in automation and configuration management using Ansible, primarily working on scripting and deploying infrastructure. Remote DevOps Engineers have a broader role, encompassing automation, CI/CD pipelines, and infrastructure orchestration. While both roles require automation skills, Ansible Engineers focus more on Ansible-specific tasks, whereas DevOps Engineers handle a wider range of tools and processes.

What are the most commonly searched types of Ansible Engineer jobs in Arizona?

The most popular types of Ansible Engineer jobs in Arizona are:

Infographic showing various Remote Ansible Engineer job openings in Arizona as of August 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

DevOps Engineer - Remote

Phoenix, AZ • Remote

$50 - $150/hr

Full-time

Posted 6 days ago


Job description

DevOps Engineer

Role Type: Contractor
Location: Remote

Job Overview

We are seeking experienced DevOps Engineers to create and evaluate production-style infrastructure and automation tasks for next-generation AI systems. You will work on CI/CD, Kubernetes, infrastructure as code, Linux, and cloud environments while ensuring solutions are accurate, reproducible, and technically sound.

No prior AI experience is required—your DevOps expertise and engineering judgment are what matter most.

Key Responsibilities
  • Design realistic DevOps tasks covering CI/CD, containers, Kubernetes, IaC, monitoring, and incident response.
  • Create working reference solutions with clear setup and validation steps.
  • Review AI-generated solutions, identify failures, and provide precise technical corrections.
  • Maintain high standards for correctness, reliability, and reproducibility.
  • Provide structured feedback to improve AI-generated DevOps workflows.
Required Skills
  • Kubernetes
  • Terraform
  • CI/CD
  • Python
  • Linux
  • Docker
  • Git
  • Cloud Platforms
  • Infrastructure as Code
Required Qualifications
  • 3+ years of professional experience in DevOps, SRE, Platform, or Infrastructure Engineering.
  • Strong coding skills in Python, Go, Bash, or TypeScript.
  • Hands-on experience with CI/CD tools such as GitHub Actions, GitLab CI, or Jenkins.
  • Practical experience with Docker, Kubernetes, and at least one major cloud platform.
  • Infrastructure as Code experience with Terraform, Ansible, Pulumi, or CloudFormation.
  • Advanced Linux and Git skills.
  • Strong written and spoken English.
  • Availability of at least 20 hours per week.
Preferred Qualifications
  • Experience with Prometheus, Grafana, Datadog, or OpenTelemetry.
  • Background in security, secrets management, or platform reliability.
  • Open-source contributions or technical writing experience.
  • Previous experience with AI training data or model evaluation.