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Ai Devops Engineer Jobs in Austin, TX (NOW HIRING)

DevOps Engineer - Remote

Austin, TX ยท Remote

$50 - $150/hr

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 ...

Senior AI DevOps Engineer

Austin, TX ยท Remote

$128K - $165K/yr

AI-first problem solving where your instinct is to automate with AI before adding manual process or headcount * Obsession with developer experience.You measure your success by how fast and reliably ...

Senior AI DevOps Engineer

Austin, TX ยท Remote

$128K - $165K/yr

AI-first problem solving where your instinct is to automate with AI before adding manual process or headcount * Obsession with developer experience.You measure your success by how fast and reliably ...

Senior AI DevOps Engineer

Austin, TX ยท On-site

$128K - $165K/yr

AI-first problem solving where your instinct is to automate with AI before adding manual process or headcount * Obsession with developer experience.You measure your success by how fast and reliably ...

DevOps Engineer

Austin, TX ยท On-site

$52.25 - $71.50/hr

DevOps Engineer * Location: Austin, Texas * Schedule: Full-time * Travel: Less than 5% * Education ... You will play a key role in BusPatrol's platform modernization and AI-native SDLC journey. That ...

DevOps Engineer

Austin, TX ยท On-site

$60 - $70/hr

Apply now: DevOps Engineer, location is Hybrid. The start date is ASAP for this contract position ... AI or Generative AI project experience * HashiCorp Vault experience * Cloud certifications (AWS ...

Platform DevOps Engineer

Austin, TX ยท On-site

$52.25 - $71.50/hr

About the Role We are looking for a Platform DevOps Engineer to help design, build, and operate the platforms that power AI CoWorkers. This is a handson role for an engineer who enjoys owning ...

Senior DevOps Engineer

Austin, TX ยท On-site

$128K - $165K/yr

Austin, TX Duration: Long Term Senior DevOps Engineer with expertise in AI integration, Azure cloud platform, and Snowflake administration, responsible for building scalable and secure data and AI ...

Platform DevOps Engineer

Austin, TX ยท On-site

$52.25 - $71.50/hr

We work at the frontier of AI, tackling big, real-world problems for global enterprises across ... About the Role We are looking for a Platform DevOps Engineer to help design, build, and operate the ...

DevOps Engineer

Round Rock, TX ยท Hybrid

$49.25 - $67.50/hr

As a DevOps Engineer, you are part of a mission-critical team that ensures our global engineering ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

DevOps Engineer

Round Rock, TX ยท On-site

$49.25 - $67.50/hr

As a DevOps Engineer, you are part of a mission-critical team that ensures our global engineering ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

DevOps Engineer

Round Rock, TX ยท Hybrid

$49.25 - $67.50/hr

As a DevOps Engineer, you are part of a mission-critical team that ensures our global engineering ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

DevOps Engineer

Round Rock, TX ยท Hybrid

$49.25 - $67.50/hr

As a DevOps Engineer, you are part of a mission-critical team that ensures our global engineering ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Jr DevOps Engineer

West Lake Hills, TX ยท Remote

$44 - $47/hr

Remote Jr DevOps Engineer Location: Remote Compensation: $44 - $47 per hour depending on experience ... Exposure to AI-assisted automation, such as: Intelligent pipelines or AI-based monitoring Why ...

DevOps Engineer

Austin, TX ยท Hybrid

$52.25 - $71.50/hr

Today it is the platform that drives AI adoption across the enterprise. Enterprise work stays ... We are looking for a DevOps Engineer to join our amazing Cloud Engineering team. We are developing ...

DevOps Engineer

Austin, TX ยท On-site

$52.25 - $71.50/hr

Job Advertisement - DevOps Engineer Company Overview: We are a fastgrowing technology company focused on delivering reliable, scalable, and secure cloudnative applications to enterprise clients. Our ...

DevOps Engineer

Austin, TX ยท On-site

$52.25 - $71.50/hr

Job Advertisement - DevOps Engineer Company Overview: We are a fast-growing technology company focused on delivering reliable, scalable, and secure cloud-native applications to enterprise clients.

DevOps Engineer

Austin, TX ยท On-site

$52.25 - $71.50/hr

We are looking for a DevOps Engineer to help us build functional systems that improve customer experience. DevOps Engineer responsibilities include deploying product updates, identifying production ...

DevOps Engineer

Austin, TX ยท On-site

$52.25 - $71.75/hr

Role: DevOps Engineer Location: Austin, TX Duration: 8 Months Devops Developer/lead with CI/CD toolset setup and implementation exp. The DevOps architect leads initiatives to define, design, and ...

As a Senior DevOps Engineer, you will deploy, monitor, and maintain the production environment ... Build and scale AI-native infrastructure - automating CI/CD, observability, and incident response ...

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Ai Devops Engineer information

See Austin, TX salary details

$16

$60

$86

How much do ai devops engineer jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for ai devops engineer in Austin, TX is $60.40, according to ZipRecruiter salary data. Most workers in this role earn between $50.62 and $69.33 per hour, depending on experience, location, and employer.

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.

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.

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.

Will AI take AI Devops Engineer jobs?

AI DevOps Engineers focus on integrating AI models into deployment pipelines, automating infrastructure, and managing AI systems. While AI tools can automate certain tasks, the role requires expertise in both AI and DevOps practices, making complete automation unlikely in the near term. Human oversight remains essential for designing, maintaining, and improving AI deployment processes.

What are popular job titles related to Ai Devops Engineer jobs in Austin, TX?

For Ai Devops Engineer jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Ai Devops Engineer jobs in Austin, TX look for?

The top searched job categories for Ai Devops Engineer jobs in Austin, TX are:

What cities near Austin, TX are hiring for Ai Devops Engineer jobs?

Cities near Austin, TX with the most Ai Devops Engineer job openings:

Infographic showing various Ai Devops Engineer job openings in Austin, TX as of August 2026, with employment types broken down into 77% Full Time, 19% Part Time, and 4% Contract. Highlights an 71% Physical, 4% Hybrid, and 25% Remote job distribution, with an average salary of $125,624 per year, or $60.4 per hour.

DevOps Engineer - Remote

YO AI Labs

Austin, TX โ€ข Remote

$50 - $150/hr

Full-time

Posted 8 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.