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Ai Devops Engineer Jobs in Arizona (NOW HIRING)

Senior XMPP DevOps Engineer

Tempe, AZ ยท On-site

$126K - $162K/yr

Senior XMPP DevOps Engineer LOCATION: Phoenix AZ SALARY: Based on Experience SPONSORSHIP : No Responsibilities * Design and implement zero-downtime to accomplish highly available service (99.99%

Senior XMPP DevOps Engineer

Tempe, AZ ยท On-site

$126K - $162K/yr

Senior XMPP DevOps Engineer LOCATION: Phoenix AZ SALARY: Based on Experience SPONSORSHIP : No Responsibilities * Design and implement zero-downtime to accomplish highly available service (99.99%

Cloud Platform Engineer (GCP) - Remote

Tucson, AZ ยท Remote

$20 - $300/hr

  • Medical

  • Retirement

  • PTO

GCP DevOps Engineer Job Type: Full-time Location: Remote - US Job Summary: Join our team as a GCP ... Our AI tools are designed to complement, not replace, human decision-making. Disclaimer The ...

Cloud Platform Engineer (GCP) - Remote

Phoenix, AZ ยท Remote

$20 - $300/hr

  • Medical

  • Retirement

  • PTO

GCP DevOps Engineer Job Type: Full-time Location: Remote - US Job Summary: Join our team as a GCP ... Our AI tools are designed to complement, not replace, human decision-making. Disclaimer The ...

Cloud Platform Engineer (GCP) - Remote

Mesa, AZ ยท Remote

$20 - $300/hr

  • Medical

  • Retirement

  • PTO

GCP DevOps Engineer Job Type: Full-time Location: Remote - US Job Summary: Join our team as a GCP ... Our AI tools are designed to complement, not replace, human decision-making. Disclaimer The ...

Senior DevOps Engineer-1

Phoenix, AZ ยท On-site

$129K - $165K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Senior DevOps Engineer is responsible for configuration, deployment and maintenance of the Services Delivery Platform and QTS Operating System applications. This position requires excellent ...

DevOps Engineer II

Scottsdale, AZ ยท Hybrid

$106K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Typically 2- 5 years prior DevOps, software engineering or related experience. * Must be able to work different schedules as part of an on-call rotation. * Ability to work on multiple projects and ...

DevOps Engineer II

Scottsdale, AZ ยท On-site

$106K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Typically 2- 5 years prior DevOps, software engineering or related experience. * Must be able to work different schedules as part of an on-call rotation. * Ability to work on multiple projects and ...

DevOps Engineer II

Scottsdale, AZ ยท On-site

$106K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Typically 2- 5 years prior DevOps, software engineering or related experience. * Must be able to work different schedules as part of an on-call rotation. * Ability to work on multiple projects and ...

AI Cloud Engineer

Globe, AZ ยท On-site

$53 - $70.75/hr

... DevOps specialists, and stakeholders to create reliable, scalable, and efficient AI infrastructure. DUTIES AND RESPONSIBILITIES: Cloud Infrastructure & Automation * Design, deploy, and maintain ...

Senior Realtime DevOps Engineer

Tempe, AZ ยท On-site

$126K - $162K/yr

Senior Realtime DevOps Engineer LOCATION : Phoenix AZ SALARY : Based on Experience SPONSORSHIP : No Responsibilities : * Design and implement zero-downtime to accomplish highly available service (99 ...

Senior Realtime DevOps Engineer

Tempe, AZ ยท On-site

$126K - $162K/yr

Senior Realtime DevOps Engineer LOCATION : Phoenix AZ SALARY : Based on Experience SPONSORSHIP : No Responsibilities : * Design and implement zero-downtime to accomplish highly available service (99 ...

Showing results 41-60

Ai Devops Engineer information

See Arizona salary details

$15

$56

$80

How much do ai devops engineer jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for ai 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 are the key skills and qualifications needed to thrive as an AI DevOps engineer?

To thrive as an AI DevOps Engineer, you need expertise in software engineering, machine learning pipelines, and cloud infrastructure, often backed by a degree in computer science or a related field. Familiarity with tools like Docker, Kubernetes, CI/CD systems, version control (e.g., Git), and cloud platforms (AWS, Azure, GCP), as well as certifications such as AWS Certified DevOps Engineer, are highly valuable. Strong problem-solving, collaboration, and communication skills help you work effectively with cross-functional teams and adapt to evolving project requirements. These competencies are essential to ensure robust, scalable, and efficient deployment of AI solutions in production environments.

What is an AI DevOps engineer?

AI DevOps Engineers are professionals who blend expertise in artificial intelligence (AI) and DevOps practices to streamline the development, deployment, and maintenance of AI-powered applications. They automate and manage the continuous integration and continuous deployment (CI/CD) pipelines for machine learning models, ensuring scalability, reliability, and efficiency in production environments. Their role also includes monitoring AI systems, managing model versions, and collaborating with data scientists, software engineers, and IT teams to bridge the gap between development and operations. This position is crucial for organizations looking to operationalize AI solutions at scale.

How does an AI DevOps engineer typically collaborate with data scientists and software engineers on AI projects?

An AI DevOps Engineer plays a crucial role in bridging the gap between data scientists and software engineers by streamlining the deployment and monitoring of AI models. They often work closely with data scientists to automate model training, testing, and deployment pipelines, ensuring that models move smoothly from development to production. Additionally, they collaborate with software engineers to integrate models into scalable applications, manage infrastructure, and set up monitoring systems to track performance and reliability. This role requires strong communication skills and a proactive approach to troubleshooting issues that arise in cross-functional teams.

What is the difference between Ai Devops Engineer vs Data Engineer?

AspectAi Devops EngineerData Engineer
Required CredentialsCertifications in cloud platforms, DevOps tools, AI/ML frameworksCertifications in data management, SQL, cloud platforms
Work EnvironmentCollaborates with AI/ML teams, DevOps, cloud infrastructureWorks with data pipelines, databases, big data tools
Employer & Industry UsageTech companies, AI startups, cloud service providersFinance, healthcare, e-commerce, data-driven industries

Ai Devops Engineers focus on deploying and maintaining AI/ML models in production using DevOps practices, while Data Engineers build and manage data pipelines and infrastructure. Both roles require cloud and scripting skills but serve different stages of data and AI workflows.

What are popular job titles related to Ai Devops Engineer jobs in Arizona? For Ai Devops Engineer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Ai Devops Engineer jobs in Arizona look for? The top searched job categories for Ai Devops Engineer jobs in Arizona are:
What cities in Arizona are hiring for Ai Devops Engineer jobs? Cities in Arizona with the most Ai Devops Engineer job openings:
Infographic showing various Ai Devops Engineer job openings in Arizona as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $117,332 per year, or $56.4 per hour.

Senior XMPP DevOps Engineer

BloKchain Talent

Tempe, AZ โ€ข On-site

$126K - $162K/yr

Full-time

Re-posted 15 hours ago


Job description

Company Description
Our Client, is an award-winning workplace. They have been recognized by Comparably as #1 CEO, Company Happiness, Benefits, Compensation, Diversity, and more! Not to mention they've been awarded by Glassdoor as the 2nd Best US workplace & Best Large Company US CEO in 2018, Wealthfront, and Business Insider. They culture focuses on delivering happiness, our commitment to transparency, and the tangible benefits we provide our employees and our customers.
Job Description
POSITION TITLE: Senior XMPP DevOps Engineer
LOCATION: Phoenix AZ
SALARY: Based on Experience
SPONSORSHIP: No
Responsibilities
  • Design and implement zero-downtime to accomplish highly available service (99.99%)
  • Design and implement disaster recovery (DR) between different region Datacenters
  • Troubleshoot complex production issues, including performance and function issues
  • Cooperating with cloud vendor and infrastructure, engineering team for security and service availability Provide deep level of outage troubleshooting for systems and Zoom backend service
  • Provide the CI/CD model to deploy and configure the production system

Requirements
  • 6 + years experience in a DevOps/Site Reliability Engineering role
  • In depth knowledge of Linux: RedHat, CentOS, Debian, etc.
  • Strong analytical and troubleshooting skills
  • Working knowledge of Ansible and Jenkins
  • Experience with Nginx, ETCD in production deployment and troubleshooting
  • Familiar with AWS technology including Elastic Search, Elastic cache, DynamoDB, SQS and S3
  • Understand gitops and familiar with github or gitlab.
  • Solid Bash or Python scripting experience.
  • Experience with system monitoring tools
  • Excellent communication skills
  • BS degree in a related field, MS preferred

Good to Have
  • ELK
  • Kubernetes

Qualifications
Requirements
  • 6 + years experience in a DevOps/Site Reliability Engineering role
  • In depth knowledge of Linux: RedHat, CentOS, Debian, etc.
  • Strong analytical and troubleshooting skills
  • Working knowledge of Ansible and Jenkins
  • Experience with Nginx, ETCD in production deployment and troubleshooting
  • Familiar with AWS technology including Elastic Search, Elastic cache, DynamoDB, SQS and S3
  • Understand gitops and familiar with github or gitlab.
  • Solid Bash or Python scripting experience.
  • Experience with system monitoring tools
  • Excellent communication skills
  • BS degree in a related field, MS preferred

Good to Have
  • ELK
  • Kubernetes

Additional Information
All your information will be kept confidential according to EEO guidelines.