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Mid Level Cloud Operations Engineer Jobs in Addison, TX

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 ... The ideal candidate will have strong expertise in cloud and on-premises infrastructure, Kubernetes ...

Copart, Inc

DevOps Engineer

Dallas, TX · On-site

$52.50 - $71.75/hr

Position Overview We are seeking a highly skilled Mid-Level to Senior DevOps Engineer with hands-on ... The ideal candidate will have strong expertise in cloud and on-premises infrastructure, Kubernetes ...

NOVO

Cloud Migration Engineer

Plano, TX · On-site

$100K - $130K/yr

The Microsoft Cloud Engineer is a project-focused role, requiring a background in project delivery ... Build and maintain cloud operations tools for monitoring, notifications, trending, and analysis to ...

IMCS Group

DevOps Engineer

Irving, TX

$51 - $70/hr

... cloud platforms like Amazon AWS, Microsoft Azure, etc.* Proficient with Unix/Linux including SSH ... S. to our mid-range to Fortune 500 clients - Health Insurance and Law Benefits Covered ...

Adidev Technologies Inc

Cloud /Devops Engineer

Dallas, TX · On-site

$55.25 - $73.75/hr

Adidev Technologies www.adidevtechnologies.com Adidev Technologies is seeking Cloud Engineer with a ... Experience with DevOps tools - CloudFormation, Terraform, CI/CD, Code Pipeline, Docker, Ansible ...

Adidev Technologies Inc

Cloud /Devops Engineer

Dallas, TX

$55.25 - $73.75/hr

Adidev Technologies www.adidevtechnologies.com Adidev Technologies is seeking Cloud Engineer with a ... Experience with DevOps tools - CloudFormation, Terraform, CI/CD, Code Pipeline, Docker, Ansible ...

JW Affinity IT

Evergreen - Cloud Engineer

Dallas, TX · Hybrid

$100K - $120K/yr

... and operations. Implements infrastructure as code, deployment pipelines, monitoring, security ... Relevant professional-level cloud certification preferred. Equivalent combinations of education ...

Copart, Inc

Senior DevOps Engineer

Dallas, TX · On-site

$129K - $165K/yr

Position Overview We are seeking a highly skilled Mid-Level to Senior DevOps Engineer with hands-on ... The ideal candidate will have strong expertise in cloud and on-premises infrastructure, Kubernetes ...

Protagona

AWS Cloud Engineer

Dallas, TX · Remote

Optimize cloud operations through the use of common infrastructure automation and configuration ... Associate/Pro level certification in AWS Compensation: The expected base salary range for this ...

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 ... The ideal candidate will have strong expertise in cloud and on-premises infrastructure, Kubernetes ...

Redolent, Inc.

Google Cloud DevOps Engineer

Irving, TX · On-site

$50.75 - $69.50/hr

Google Cloud DevOps- Irving, TX 4+ years of software engineering and DevOps experience in ... level and translate their needs into a technical solution. -Develop and implement complex ...

Apptad, Inc.

CloudOps Lead Engineer

Plano, TX · On-site

$50 - $52/hr

CloudOps Lead Engineer Location : Plano, TX Rate -$50 -52/hr. On W2 Job Overview: Role Overview We ... Key Responsibilities Cloud Operations & Deployments * Support and manage cloud deployments to ...

Apex Systems

Azure DevOps Engineer

Plano, TX · On-site

$60 - $80/hr

... s Engineer Location: Plano, Texas (Partial Remote) Employment Type: Contract Role Overview Our ... Lead cloud migration projects and optimize existing workloads for performance, security, and cost ...

Protagona

AWS Senior Cloud Engineer

Dallas, TX · Remote

Optimize cloud operations through the use of common infrastructure automation and configuration ... Associate/Pro level certification in AWS Compensation: The expected base salary range for this ...

OrangePeople

Mid-Level Golang AWS Developer

Plano, TX · On-site

$50.50 - $65/hr

We are looking for a Mid-Level Golang AWS Developer with proven expertise in creating scalable ... cloud-native technologies, and contributing to modern DevOps and observability practices.

OrangePeople

Mid-Level Golang AWS Developer

Plano, TX · On-site

$50.25 - $64.75/hr

We are looking for a Mid-Level Golang AWS Developer with proven expertise in creating scalable ... cloud-native technologies, and contributing to modern DevOps and observability practices.

Virtusa

DevOps Engineer

Plano, TX

$50.50 - $69.25/hr

ob Description - Cloud Engineer (5-12 Years Experience) We are looking for an experienced Cloud ... operations and processes

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Showing results 21-40

All JobsMid Level Cloud Operations Engineer JobsMid Level Cloud Operations Engineer Jobs in Addison, TX

Mid Level Cloud Operations Engineer information

See Addison, TX salary details

$21.8K

$121.4K

$181.5K

How much do mid level cloud operations engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for mid level cloud operations engineer in Addison, TX is $121,427.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,200.00 and $142,800.00 per year, depending on experience, location, and employer.

What is the difference between Mid Level Cloud Operations Engineer vs Cloud Support Engineer?

AspectMid Level Cloud Operations EngineerCloud Support Engineer
Required CredentialsCertifications like AWS Certified Solutions Architect, Azure AdministratorSimilar certifications, often including vendor-specific ones
Work EnvironmentHands-on management of cloud infrastructure, deployment, monitoringCustomer support, troubleshooting, issue resolution
Employer & Industry UsageTech companies, cloud service providers, enterprisesCloud service providers, IT support firms, SaaS companies

The Mid Level Cloud Operations Engineer focuses on managing and maintaining cloud infrastructure, while the Cloud Support Engineer primarily handles troubleshooting and customer support. Both roles require similar certifications and are common in cloud-centric industries, but their daily responsibilities differ significantly.

What are popular job titles related to Mid Level Cloud Operations Engineer jobs in Addison, TX?

For Mid Level Cloud Operations Engineer jobs in Addison, TX, the most frequently searched job titles are:

What job categories do people searching Mid Level Cloud Operations Engineer jobs in Addison, TX look for?

The top searched job categories for Mid Level Cloud Operations Engineer jobs in Addison, TX are:

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Mid Level Cloud Operations Engineer jobs near you
Infographic showing various Mid Level Cloud Operations Engineer job openings in Addison, TX as of August 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $121,427 per year, or $58.4 per hour.

DevOps Engineer

Copart, Inc.

Dallas, TX • On-site

$52.25 - $71.50/hr

Full-time

Re-posted yesterday

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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