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

Copart, Inc.

DevOps Engineer

Dallas, TX · On-site

$52.25 - $71.50/hr

Position Overview We are seeking a highly skilled Mid-Level to Senior DevOps Engineer with hands-on ... AI / MLOps / AIOps * Deploy, manage, and optimize AI/ML workloads in production environments.

Copart, Inc.

Senior DevOps Engineer

Dallas, TX · On-site

$128K - $165K/yr

Position Overview We are seeking a highly skilled Mid-Level to Senior DevOps Engineer with hands-on ... AI / MLOps / AIOps * Deploy, manage, and optimize AI/ML workloads in production environments.

Empowered

DevOps Engineer

Dallas, TX

$52.25 - $71.50/hr

We focus on crafting highly creative AI approaches that provide sustainable and impactful results across various industries. We are seeking an experienced DevOps Engineer to support and scale our ...

The AES Group

Lead Azure DevOps Engineer

Frisco, TX · On-site

$49.25 - $67.50/hr

... AI, engineering, and other emerging technologies. Key Responsibilities * Lead Azure DevOps and cloud initiatives for AD. * Work closely with client and delivery teams to design, implement, and ...

Apex Systems

DevOps Engineer

Plano, TX · On-site

$70/hr

Job#: 3041911 Title : AWS DevOps Engineer Duration: Contract - Estimated 6 Month Length with ... By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails ...

Apex Informatics

DevOps Engineer

Dallas, TX · On-site

$48.75 - $66.75/hr

Position Title * DevOps Engineer ACSXAG85 Position Responsibilities DevOps Engineer Plano TX (Hybrid role) Visa Open (W2 Candidates) Must have skill: Ansible, DevOps Specialist, DevOps Qualifications:

AgreeYa Solutions

Devops Engineer

Plano, TX · On-site

$50.75 - $69.50/hr

Title- DevOps Engineer Location- Plano, TX- Fully Onsite From Day-1 LOCALS ONLY Type- Contract- C2C/W2 - Seeking a DevOps engineer to automate and manage cloud deployments using Terraform and Ansible ...

Adidev Technologies Inc

DevOps Engineer

Dallas, TX

$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 ...

Adidev Technologies Inc

DevOps Engineer

Dallas, TX · 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.

Cliff Services Inc

Devops Engineer

Richardson, TX · On-site

$48 - $65.50/hr

Python Scripting * Kubernetes * DevOps (CI/CD) * Terraform (Infrastructure as Code) * Cloud ... AI/ML Platform exposure Experience: 6+ Years (Preferred)

Glint Tech Solutions LLC

DevOps Engineer

Plano, TX · On-site

$110 - $150/hr

Job Title: DevOps Engineer Location: Plano, TX (Hybrid -- 3 days/week onsite; only local candidates will be considered) Company Overview Our client is a leading multinational telecommunications ...

SoftNice INC

DevOps Engineer

Dallas, TX · On-site

$52.25 - $71.50/hr

TITLE : DEVOPS ENGINEER LOCATION : DALLAS, TX Work with the Sr DevOps engineer to implement the DevOps, CI/CD function Work with the Sr DevOps engineer to identifying the tool set for, designing and ...

Adidev Technologies Inc

DevOps Engineer

Addison, TX · On-site

$51 - $70/hr

As a DevOps Engineer, you will be a key contributor to the development and operations lifecycle, owning the end-to-end automation of infrastructure provisioning, CI/CD pipelines, deployments ...

Adidev Technologies Inc

DevOps Engineer

Addison, TX · On-site

$51 - $70/hr

As a DevOps Engineer, you will be a key contributor to the development and operations lifecycle, owning the end‑to‑end automation of infrastructure provisioning, CI/CD pipelines, deployments ...

Adidev Technologies

DevOps Engineer

Addison, TX

$51 - $70/hr

As a DevOps Engineer, you will be a key contributor to the development and operations lifecycle, owning the endtoend automation of infrastructure provisioning, CI/CD pipelines, deployments ...

1 point system

DevOps Engineer

Plano, TX · On-site

$50.50 - $69.25/hr

AWS Certified DevOps Engineer, Microsoft Azure Developer Associate, Microsoft DevOps Engineer Expert, Puppet Certified Professional, Docker Certified Associate, Certified Kubernetes Administrator ...

Apex Systems

DevOps Engineer

Irving, TX · On-site

$50.75 - $69.50/hr

Job#: 3042231 DevOps Engineer Location: Irving, Texas (Onsite) Role Overview We are seeking a DevOp ... By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails ...

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All JobsAi Devops Engineer JobsAi Devops Engineer Jobs in Dallas, TX

Ai Devops Engineer information

See Dallas, TX salary details

$16

$59

$85

How much do ai devops engineer jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for ai devops engineer in Dallas, TX is $59.91, according to ZipRecruiter salary data. Most workers in this role earn between $50.19 and $68.75 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 Dallas, TX?

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

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

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

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

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

Ai Devops Engineer jobs near you
Infographic showing various Ai Devops Engineer job openings in Dallas, TX as of August 2026, with employment types broken down into 78% Full Time, 19% Part Time, and 3% Contract. Highlights an 69% Physical, 4% Hybrid, and 27% Remote job distribution, with an average salary of $124,606 per year, or $59.9 per hour.

DevOps Engineer

Copart, Inc.

Dallas, TX • On-site

$52.25 - $71.50/hr

Full-time

Re-posted 2 days ago

Copart rating

6.8

Company rating: 6.8 out of 10

Based on 108 frontline employees who took The Breakroom Quiz

12th of 19 rated auctioneers

Job description

Copart, Inc. a technology leader and the premier online vehicle auction platform globally, with over 200 facilities located across the world, Copart links vehicle sellers to more than 750,000 buyers in over 190 countries. We believe in providing an unmatched experience, every day and everywhere, driven by our people, processes, and technology.
Position Overview
We are seeking a highly skilled Mid-Level to Senior DevOps Engineer with hands-on experience building, deploying, operating, and supporting modern AI, Machine Learning, and Agentic applications. The ideal candidate will have strong expertise in cloud and on-premises infrastructure, Kubernetes, containerization, microservices, MLOps, CI/CD automation, and production operations.
This role requires an engineer who can partner closely with Product, Engineering, Data Science, AI and IT Security teams to design, deploy, scale, secure, and maintain mission-critical applications while ensuring operational excellence and adherence to DevOps best practices.
The position includes responsibility for production support, infrastructure automation, platform reliability, and continuous improvement of deployment and operational standards.
Key Responsibilities
Platform Engineering & DevOps
  • Design, build, automate, and maintain DevOps platforms supporting AI, ML, Agentic, and traditional applications.
  • Deploy, containerize, and manage applications using Docker and Kubernetes across both on-premises and cloud environments.
  • Develop Infrastructure as Code (IaC) solutions for repeatable, scalable, and secure deployments.
  • Build and maintain CI/CD pipelines that support rapid and reliable application releases.
  • Define and implement DevOps standards, deployment frameworks, operational procedures, and platform best practices.
  • Automate environment provisioning, application deployment, monitoring, and operational workflows.

AI / MLOps / AIOps
  • Deploy, manage, and optimize AI/ML workloads in production environments.
  • Support LLM-based, Agentic AI, Retrieval-Augmented Generation (RAG), and AI workflow platforms.
  • Manage and optimize GPU-based infrastructure for AI training and inference workloads.
  • Collaborate with Data Science and AI Engineering teams to operationalize machine learning models.
  • Implement MLOps practices including model deployment, versioning, monitoring, rollback strategies, and lifecycle management.
  • Utilize AIOps techniques for proactive monitoring, anomaly detection, incident response, and operational optimization.

  • Assist in performance tuning and resource optimization of AI/ML applications.

  • Evaluate, customize, and deploy AI coding agents (e.g., Cursor, Claude Code, Codex) tuned to Coparts's monorepo, conventions, and internal libraries.

  • Build custom agents for tasks.

  • Own and operate the end-to-end internal AI stack from model selection and integration to deployment and monitoring.

Application Deployment & Operations
  • Deploy and support Python-based , Java-based applications and AI services.
  • Build and manage workflows using tools such as n8n and related automation platforms.
  • Troubleshoot deployment, performance, scalability, and reliability issues across distributed systems.
  • Maintain highly available production environments with a focus on uptime, security, and performance.

  • Develop operational runbooks, deployment documentation, and support procedures.

  • Build and maintain custom AI agents and LLM-powered tools tailored to Copart's engineering workflows.

Production Support & Reliability
  • Provide day-to-day support for production applications and infrastructure.
  • Participate in release activities, maintenance windows, upgrades, and production deployments, including support during extended hours when required.
  • Perform root cause analysis (RCA) and implement preventive measures to reduce recurring incidents.
  • Monitor system health, performance, capacity, and availability.
  • Collaborate with engineering teams to improve observability, alerting, and operational readiness.

Collaboration & Requirements Gathering
  • Work closely with Product Managers, Architects, Software Engineers, Data Scientists, and Business Stakeholders.
  • Participate in requirements gathering, solution design, and infrastructure planning.
  • Ensure applications and platforms are built according to organizational DevOps, security, reliability, and operational standards.
  • Establish and maintain deployment, monitoring, and support standards across teams.

Required Qualifications
  • 5+ years of experience in DevOps, Platform Engineering, Site Reliability Engineering (SRE), or Infrastructure Engineering roles.
  • Proven experience supporting production applications in enterprise environments.
  • Strong hands-on experience with:
    • Kubernetes (on-premises and cloud)
    • Docker containerization
    • Linux system administration
    • Python application deployment and operations
    • CI/CD pipeline development and automation
    • Infrastructure automation and configuration management
  • Experience deploying and supporting AI, ML, or Agentic applications in production.
  • Experience operating GPU-based infrastructure for AI workloads.
  • Strong understanding of MLOps concepts and practices.
  • Experience with AI model deployment, monitoring, and operational support.
  • Experience supporting production releases, maintenance activities, and incident management.

#L1-MS1
At Copart, we are focused on harnessing the power of diversity, inclusion, and collaboration. By embracing diverse perspectives, we open doors to innovation and unleash the full potential of our team. We are dedicated to fostering a workplace where everyone feels appreciated, included, and inspired to grow and contribute meaningfully.
E-Verify Program Participant: Copart participates in the Department of Homeland Security U.S. Citizenship and Immigration Services' E-Verify program (For U.S. applicants and employees only). Please click below to learn more about the E-Verify program:
  • E-verify Participation
  • Right to Work

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