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Devops Training Jobs in Texas (NOW HIRING)

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 ... Manage and optimize GPU-based infrastructure for AI training and inference workloads. * Collaborate ...

DevOps Engineer

Plano, TX · On-site

$50.50 - $69.25/hr

Company Description We specialize in Staffing, Consulting, Software Development, and Training along ... Key duties and responsibilities of the DevOps Engineer include: Use emerging technologies to ...

DevOps Engineer

Dallas, TX · On-site

$52.25 - $71.50/hr

Experience with CI/CD pipelines and DevOps practices * Knowledge of Kubernetes networking, security ... training. The targeted pay range listed reflects the base pay only and does not include bonus ...

Devops Engineer

Richardson, TX · On-site

$48 - $65.50/hr

... DevOps|Continuous integration - Java Technical Skills 2 Technology|Cloud Platform|AWS Container ... training programs, documentation, and support frameworks to ensure a smooth transition to new ...

DevOps Engineer

Irving, TX · On-site

$45 - $50/hr

... training. * Experience with Helm charts for Kubernetes deployments. * Experience with ... Strong experience as a DevOps engineer with AWS services and best practices. * Proficiency in ...

... - DevOps (Advanced) Duration: 3 to 6 Months CTH Location: Houston, TX 77002 This is a W2 position ... education, training, credentials and experience of the candidate; and other conditions of ...

Seeking DevOps Engineers for a wide range of projects with a willingness to grow their knowledge ... training, internal peer equity, and market and business consideration.

Description Seeking DevOps Engineers for a wide range of projects with a willingness to grow their ... training, internal peer equity, and market and business consideration.

Seeking DevOps Engineers for a wide range of projects with a willingness to grow their knowledge ... training, internal peer equity, and market and business consideration.

DevOps Engineer

Irving, TX · On-site

$50.75 - $69.50/hr

... experience, training, military experience, education • 3+ years working with Google Cloud ... CD, DevOps concepts, and Site Reliability Engineer (SRE) principles • Proficient on container ...

Devops Engineer

Richardson, TX · On-site

$48 - $65.50/hr

... training programs, documentation, and support frameworks to ensure a smooth transition to new ... Required Skill and Experience Experience working as Devops Engineer. Hands on experience with cloud ...

Hybris DevOps

Dallas, TX · On-site

$52.25 - $71.50/hr

Company Description We specialize in Staffing, Consulting, Software Development, and Training along ... The SAP Hybris Infrastructure Consultant will work closely with the Development/QA/DevOps teams to ...

Cloud DevOps Engineer

San Antonio, TX · On-site

$48 - $65.75/hr

Cloud DevOps Engineer LOCATION San Antonio, TX 78208 CLEARANCE TS/SCI Full Poly (Please note this ... Paid Training * No long, wordy reviews with tons of paperwork!!! * Referral bonus program with ...

Hybris DevOps

Dallas, TX

$52.25 - $71.50/hr

Company Description We specialize in Staffing, Consulting, Software Development, and Training along ... The SAP Hybris Infrastructure Consultant will work closely with the Development/QA/DevOps teams to ...

Showing results 21-40

Devops Training information

What are some common challenges faced by professionals during DevOps training, and how can they be overcome?

One common challenge during DevOps training is bridging the gap between development and operations mindsets, as these teams often have different priorities and workflows. Adapting to new tools and automation processes can also be daunting, especially for those with limited prior exposure. To overcome these challenges, it’s helpful to participate in hands-on labs, collaborate closely with peers, and seek mentorship from experienced DevOps practitioners. Regular practice and open communication within cross-functional teams also accelerate learning and integration.

Can I learn DevOps Training in 3 months?

Learning DevOps training in three months is possible for individuals with prior IT experience, focusing on core concepts like CI/CD, automation tools, and cloud platforms. However, mastering all aspects may require ongoing practice and real-world application beyond the initial timeframe.

What is DevOps training?

DevOps training is a specialized educational program designed to teach individuals the principles, practices, and tools of DevOps, a collaborative approach to software development and IT operations. The training covers topics such as continuous integration and delivery (CI/CD), automation, infrastructure as code, monitoring, and collaboration between development and operations teams. It aims to help participants understand how to improve software quality, increase deployment speed, and foster a culture of continuous improvement within organizations.

What are the key skills and qualifications needed to thrive in DevOps training, and why are they important?

To excel in DevOps training, you need a solid understanding of software development, system administration, and networking fundamentals, often supported by a background in computer science or relevant IT experience. Familiarity with tools such as Docker, Kubernetes, Jenkins, Git, and cloud platforms like AWS or Azure, as well as certifications like AWS Certified DevOps Engineer or Docker Certified Associate, is highly beneficial. Strong problem-solving, collaboration, and adaptability skills help individuals navigate fast-changing environments and foster effective teamwork. These competencies are crucial to streamline software delivery, enhance operational efficiency, and ensure continuous integration and deployment within organizations.

What is the difference between Devops Training vs Cloud Engineer?

AspectDevops TrainingCloud Engineer
CertificationsTypically includes certifications like Docker, Jenkins, KubernetesIncludes cloud platform certifications like AWS, Azure, GCP
Work EnvironmentFocuses on automation, CI/CD pipelines, and collaboration toolsFocuses on cloud infrastructure, deployment, and management
Industry UsageUsed across IT, software development, and operations teamsPrimarily in cloud service providers and organizations adopting cloud solutions

Devops Training and Cloud Engineer roles share overlapping skills in automation and cloud concepts, but Devops Training prepares individuals for automation and integration tasks, while Cloud Engineers focus on managing cloud infrastructure. Both roles are vital in modern IT environments and often work together to optimize deployment and operations.

Is DevOps training still in demand?

DevOps training remains in high demand as organizations seek professionals skilled in automation, continuous integration, and cloud platforms like AWS and Azure. Certified DevOps engineers with knowledge of tools such as Docker, Kubernetes, and Jenkins are particularly sought after in the current job market.
What are popular job titles related to Devops Training jobs in Texas? For Devops Training jobs in Texas, the most frequently searched job titles are:
What cities in Texas are hiring for Devops Training jobs? Cities in Texas with the most Devops Training job openings:
Infographic showing various Devops Training job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

Senior DevOps Engineer

Copart, Inc.

Dallas, TX • On-site

$128K - $165K/yr

Full-time

Re-posted 3 days ago


Copart rating

6.8

Company rating: 6.8 out of 10

Based on 108 frontline employees who took The Breakroom Quiz

11th of 18 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.

#LS1-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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