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

DevOps Engineer - Remote

Houston, 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 ...

New

* Establish the enterprise DevOps operating model for GXO's Agentic AI Platform, including CI/CD standards, branching strategies, release governance, environment promotion, deployment approvals, and ...

DevOps Engineer-W2

Houston, TX ยท On-site

$50.25 - $69/hr

DevOps Engineer - 9+ Years Location: Multiple Client Locations Type: W2 Only C2C: Not Accepted We are looking for a senior DevOps Engineer with 9+ years of experience in cloud infrastructure ...

DevOps Engineer

Houston, TX ยท On-site

$50.25 - $69/hr

They are seeking a DevOps Engineer who will be responsible for managing servers, handling DevOps situations, and supporting both development and operations. Responsibilities : โ€ข Candidate needs to ...

Senior DevOps Engineer

Texas City, TX ยท On-site

$111K - $142K/yr

Senior DevOps Engineer Location: Texas Experience: 10+ Years Employment Type: W2 Contract We are seeking an experienced Senior DevOps Engineer with 10+ years of experience in cloud infrastructure, CI ...

Devops Engineer

Houston, TX ยท On-site

$50.25 - $69/hr

The DevOps Engineer designs and manages database architecture, CI/CD pipeline infrastructure, and on-premises platform services across all Business Units. This role owns advanced performance ...

Devops Engineer

Houston, TX ยท On-site

$90 - $120/hr

The DevOps Engineer designs and manages database architecture, CI/CD pipeline infrastructure, and on-premises platform services across all Business Units. This role owns advanced performance ...

Devops Engineer

Houston, TX ยท On-site

$50.25 - $69/hr

The DevOps Engineer designs and manages database architecture, CI/CD pipeline infrastructure, and on-premises platform services across all Business Units. This role owns advanced performance ...

DevOps Engineer

Houston, TX ยท On-site

$48.75 - $66.75/hr

Title: DevOps Engineer Location: Houston, TX Duration: 12+ Months Contract * Strong AWS understand and skills * CI/CD implementation including integration of testing tools Git, Bitbucket, Maven ...

DevOps Engineer

Houston, TX ยท On-site

$100K - $165K/yr

Posting/External Job Title DevOps Engineer Location Houston, TX 77058 US (Primary) Remote/Onsite/Hybrid 100% Onsite Job Type Full-time # of Hires Needed 1 Education Bachelor's Degree Travel Security ...

Senior DevOps Engineer (Web3)

Houston, TX ยท On-site +1

$124K - $159K/yr

Our flagship project, Autheo , is an AI enabled Layer-Zero OS with an integrated Layer-1 blockchain ... POSITION - SENIOR DEVOPS ENGINEER (WEB3) We are seeking a highly experienced and knowledgeable ...

DevOps Engineer

Houston, TX ยท On-site

$50.25 - $69/hr

Job Title- DevOps Engineer Location- Houston, TX Joining Mode- Contract Only W2 candidates - Linux system administration skills bash/shell/python scripting experience Cloud administration experience ...

Lead DevOps Engineer/Manager

Spring, TX ยท On-site

$48.50 - $66.50/hr

Lead DevOps Engineer/Manager Location: Spring TX - Hybrid Duration: 6-12 months + Experience Level: 10+ Years DevOps (Required) Education: Bachelor's Degree in Computer Science, MIS, or related field ...

DevOps Engineer

Houston, TX ยท Remote

$54 - $74/hr

We are looking for a DevOps Engineer to join our amazing Cloud Engineering team. We are developing ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

DevOps Engineer

Houston, TX ยท Hybrid

$50.25 - $69/hr

We are looking for a DevOps Engineer to join our amazing Cloud Engineering team. We are developing ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

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Ai Devops Engineer information

See Houston, TX salary details

$15

$56

$80

How much do ai devops engineer jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for ai devops engineer in Houston, TX is $56.50, according to ZipRecruiter salary data. Most workers in this role earn between $47.36 and $64.86 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 job categories do people searching Ai Devops Engineer jobs in Houston, TX look for?

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

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

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

Infographic showing various Ai Devops Engineer job openings in Houston, TX as of August 2026, with employment types broken down into 77% Full Time, 20% Part Time, and 3% Contract. Highlights an 70% Physical, 4% Hybrid, and 26% Remote job distribution, with an average salary of $120,239 per year, or $57.8 per hour.

DevOps Engineer - Remote

Houston, TX โ€ข Remote

$50 - $150/hr

Full-time

Posted yesterday

New


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.