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Cloud Ops Engineer Jobs in Texas (NOW HIRING)

4MINDS

Senior Network Engineer

Dallas, TX · On-site

$103K - $141K/yr

4Minds is seeking a senior ML Ops Engineer to own and scale our AI infrastructure across GCP, AWS ... You will work closely with the CTO to push the boundaries of private, cloud-agnostic AI deployment ...

Oxefit Inc

Dev Ops Engineer

Plano, TX · On-site

$107K - $127K/yr

Cloud Team Part-time or Full-time : Full-time Locations : Plano - Onsite Salary Range : Based on experience As a DevOps Engineer, you will have the opportunity to develop and maintain automation to ...

Oxefit Inc

Dev Ops Engineer

Plano, TX · On-site

$107K - $127K/yr

Cloud Team Part-time or Full-time : Full-time Locations : Plano - Onsite Salary Range : Based on experience As a DevOps Engineer, you will have the opportunity to develop and maintain automation to ...

SquareDomain

DevOps

Austin, TX · On-site

$100 - $125/hr

Our client's SaaS‑based applications allow customers to provision the optimum cloud services for their cloud needs (IaaS, PaaS, SaaS). Dev Ops Engineer that can be the "point" on troubleshooting ...

SquareDomain

DevOps

Austin, TX · On-site

$52.25 - $71.50/hr

Our client's SaaS-based applications allow customers to provision the optimum cloud services for their cloud needs (IaaS, PaaS, SaaS). Dev Ops Engineer that can be the "point" on troubleshooting ...

Aprio

Senior Cybersecurity Engineer

Austin, TX · On-site

$113K - $155K/yr

Be the senior partner Cloud Ops, Identity, IT Service Management, GRC, and the SOC call when they need security engineering input. Solve problems with them, not at them. * Detection/response ...

Vkore Solutions

GenAI Engineer-W2

Austin, TX · On-site

We are looking for a GenAI Ops Engineer to train, fine-tune, and deploy Generative AI models (LLMs ... Deploy models using Kubernetes, Docker, and cloud AI services AWS or GCP. * Monitor model ...

Aprio

Senior Cybersecurity Engineer

Dallas, TX · On-site

$113K - $155K/yr

Be the senior partner Cloud Ops, Identity, IT Service Management, GRC, and the SOC call when they need security engineering input. Solve problems with them, not at them. * Detection/response ...

SquareDomain

DevOps

Austin, TX · On-site

$52.25 - $71.50/hr

Our client's SaaS-based applications allow customers to provision the optimum cloud services for their cloud needs (IaaS, PaaS, SaaS). Dev Ops Engineer that can be the "point" on troubleshooting ...

BCForward

Site Reliability Engineer

Plano, TX · On-site

$55 - $60/hr

Contract to hire 4 months We are seeking a Dev Ops Engineer (Intermediate) to join our team. The ideal candidate will have strong experience in DevOps engineering, Agile delivery, CI/CD, cloud ...

AFS Logistics

Dev Ops Engineer

Irving, TX · On-site

$100 - $125/hr

... DevOps Engineer has the primary purpose of providing reliable platforms for running, building ... Working knowledge of administering public cloud platforms (GCP, AWS, Azure) * Working knowledge of ...

AFS Logistics

Dev Ops Engineer

Irving, TX · On-site

$48.75 - $66.50/hr

The position of DevOps Engineer has the primary purpose of providing reliable platforms for running ... Working knowledge of administering public cloud platforms (GCP, AWS, Azure) * Working knowledge of ...

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Showing results 21-40

All JobsCloud Ops Engineer JobsCloud Ops Engineer Jobs in Texas

Cloud Ops Engineer information

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How much do cloud ops engineer jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for cloud ops engineer in Texas is $58.59, according to ZipRecruiter salary data. Most workers in this role earn between $49.95 and $66.73 per hour, depending on experience, location, and employer.

What is a cloud ops engineer?

Cloud Ops Engineers, or Cloud Operations Engineers, are IT professionals responsible for managing, monitoring, and maintaining cloud-based infrastructure and services. They ensure cloud platforms run efficiently, securely, and reliably by automating processes, configuring resources, and troubleshooting issues. Cloud Ops Engineers often work with platforms like AWS, Azure, or Google Cloud, and collaborate with development and IT teams to optimize performance and cost. Their role is crucial in supporting business operations that rely on cloud technology.

What are the key skills and qualifications needed to thrive as a cloud ops engineer?

To thrive as a Cloud Ops Engineer, you need expertise in cloud platforms (such as AWS, Azure, or Google Cloud), infrastructure automation, and a solid understanding of networking and security principles—often supported by a relevant degree or certifications like AWS Certified SysOps Administrator. Familiarity with tools like Terraform, Kubernetes, Docker, and CI/CD pipelines is typically required. Strong problem-solving, collaboration, and communication skills help Cloud Ops Engineers quickly address incidents and work effectively with cross-functional teams. These skills ensure reliable cloud environments, efficient deployments, and minimized downtime for critical business operations.

What are some common challenges faced by cloud ops engineers when managing multi-cloud environments?

Cloud Ops Engineers working in multi-cloud environments often encounter challenges such as ensuring consistent security policies across platforms, managing cost optimization, and maintaining high availability. Coordinating deployments and monitoring tools between different providers can be complex, requiring strong documentation and automation skills. Effective collaboration with development, security, and network teams is essential to address these challenges and ensure seamless cloud operations.

What is the difference between Cloud Ops Engineer vs Cloud Engineer?

AspectCloud Ops EngineerCloud Engineer
CredentialsCertifications like AWS Certified SysOps Administrator, Azure Administrator, or Google Cloud Professional Cloud ArchitectSimilar certifications, often including cloud platform-specific certifications
Work EnvironmentFocus on deployment, monitoring, and maintaining cloud infrastructure, often in operational teamsDesigning, developing, and deploying cloud solutions, more project-focused
Employer & Industry UsageUsed in companies with large cloud operations, IT service providers, and cloud service teamsUsed across tech companies, startups, and enterprises building cloud-based applications

While both roles involve cloud technologies, Cloud Ops Engineers focus on managing and maintaining cloud infrastructure, ensuring operational stability. Cloud Engineers primarily design and develop cloud solutions, emphasizing architecture and deployment. Understanding these differences helps in choosing the right career path or job search focus.

Are cloud ops engineers still in demand?

Cloud Ops Engineers are currently in high demand due to the ongoing growth of cloud computing and the need for managing cloud infrastructure, automation, and security. Skills in platforms like AWS, Azure, or Google Cloud, along with knowledge of scripting and monitoring tools, enhance employability in this field.

What are popular job titles related to Cloud Ops Engineer jobs in Texas?

For Cloud Ops Engineer jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Cloud Ops Engineer jobs in Texas look for?

The top searched job categories for Cloud Ops Engineer jobs in Texas are:

What cities in Texas are hiring for Cloud Ops Engineer jobs?

Cities in Texas with the most Cloud Ops Engineer job openings:

Cloud Ops Engineer jobs near you
Infographic showing various Cloud Ops Engineer job openings in Texas as of August 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $121,863 per year, or $58.6 per hour.

Senior Network Engineer

4MINDS

Dallas, TX • On-site

$103K - $141K/yr

Full-time

This job post has expired 4 days ago. Applications are no longer accepted.

Job description

4Minds is seeking a senior ML Ops Engineer to own and scale our AI infrastructure across GCP, AWS, Azure, CoreWeave, and on‐premise deployments. You will design, build, and optimize the inference stack, CI/CD pipelines, and GPU performance to deliver reliable models at enterprise scale. You will work closely with the CTO to push the boundaries of private, cloud-agnostic AI deployment, ensuring production-grade systems that can operate across diverse environments.

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