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Cloud Ops Engineer Jobs (NOW HIRING)

Donato Technologies, Inc

ML Ops Engineer

Charlotte, NC · On-site

$60/hr

Automate model training, testing, deployment, and monitoring in cloud environments (e.g., GCP, AWS ... Familiarity with data engineering tools (e.g., Airflow, Spark) and ML Ops frameworks. * Solid ...

AutoZone

Systems Engineer - Cloud Ops

Memphis, TN

$54.25 - $72.25/hr

As a Systems Engineer on the Cloud Operations team, you will be responsible for deploying, managing, and optimizing our cloud-based infrastructure on Google Cloud Platform (GCP). You will work with ...

AutoZone

Systems Engineer - Cloud Ops

Memphis, TN · On-site

$54.25 - $72.50/hr

As a Systems Engineer on the Cloud Operations team, you will be responsible for deploying, managing, and optimizing our cloud-based infrastructure on Google Cloud Platform (GCP). You will work with ...

iSpace, Inc

AI Ops Engineer III

Denver, CO · On-site

$54.25 - $74.25/hr

AI Ops Engineer III Location: Denver, CO * Design, develop, and maintain robust AI agents and ... Deploy, monitor, and optimize AI agents and supporting infrastructure within Google Cloud Platform ...

Career Site

Senior Cloud Data Ops Engineer

Quincy, MA · On-site

$140K - $180K/yr

Summary of Position: he Cloud Data Ops team is hiring a Senior Cloud DBA & Data Platform Engineer who brings deep, hands-on DBA expertise across SQL Server, Postgres (w/Timescale) and Oracle ...

Techvilla Solutions

ML Ops Engineer

Brookfield, WI · On-site

We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine ... The ideal candidate will have strong experience with cloud platforms, CI/CD, containerization ...

Techvilla Solutions

ML Ops Engineer

Menomonee Falls, WI · On-site

We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine ... The ideal candidate will have strong experience with cloud platforms, CI/CD, containerization ...

Techvilla Solutions

ML Ops Engineer

Greenfield, WI · On-site

We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine ... The ideal candidate will have strong experience with cloud platforms, CI/CD, containerization ...

Govcio LLC

AI Ops Engineer

Arlington, VA · Hybrid

$220K - $240K/yr

GovCIO is currently hiring an AI Ops Engineer with an active Secret clearance to implement ... Bachelor's with 12+ years of infrastructure/cloud engineering experience (or commensurate ...

Techvilla Solutions

ML Ops Engineer

Greendale, WI · On-site

We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine ... The ideal candidate will have strong experience with cloud platforms, CI/CD, containerization ...

Techvilla Solutions

ML Ops Engineer

Hartland, WI · On-site

We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine ... The ideal candidate will have strong experience with cloud platforms, CI/CD, containerization ...

Techvilla Solutions

ML Ops Engineer

New Berlin, WI · On-site

We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine ... The ideal candidate will have strong experience with cloud platforms, CI/CD, containerization ...

Techvilla Solutions

ML Ops Engineer

Fox Point, WI · On-site

We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine ... The ideal candidate will have strong experience with cloud platforms, CI/CD, containerization ...

Techvilla Solutions

ML Ops Engineer

Muskego, WI · On-site

We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine ... The ideal candidate will have strong experience with cloud platforms, CI/CD, containerization ...

Techvilla Solutions

ML Ops Engineer

Richfield, WI · On-site

We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine ... The ideal candidate will have strong experience with cloud platforms, CI/CD, containerization ...

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Cloud Ops Engineer information

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How much do cloud ops engineer jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for cloud ops engineer in the United States is $62.89, according to ZipRecruiter salary data. Most workers in this role earn between $53.61 and $71.63 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.
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Cloud Ops Engineer jobs near you
Infographic showing various Cloud Ops Engineer job openings in the United States as of August 2026, with employment types broken down into 93% Full Time, 3% Part Time, and 4% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $130,802 per year, or $62.9 per hour.

ML Ops Engineer

Donato Technologies, Inc

Charlotte, NC • On-site

$60/hr

Contractor

Re-posted 14 days ago

Job description

Overview

Machine Learning AI team seeking a ML Ops Engineer to drive the full lifecycle of machine learning solutions.
 
Key Responsibilities

  • Develop and maintain ML pipelines using tools like MLflow, Kubeflow, or Vertex AI. 
  • Automate model training, testing, deployment, and monitoring in cloud environments (e.g., GCP, AWS, Azure).
  • Implement CI/CD workflows for model lifecycle management, including versioning, monitoring, and retraining.
  • Monitor model performance using observability tools and ensure compliance with model governance frameworks (MRM, documentation,explainability)
  • Collaborate with engineering teams to provision containerized environments and support model scoring via low-latency APIs
  • Leverage AutoML tools (e.g., Vertex AI AutoML, H2O Driverless AI) for low-code/no-code model development, documentation automation, and rapid deployment

Qualifications

  • 10+ Years of professional experience in Software Engineering & 3+Years in AIML, Machine Learning Model Operations.
  • Strong proficiency in Java and  Python, SQL, and ML libraries (e.g.,scikit-learn, XGBoost, TensorFlow, PyTorch).
  • Experience with cloud platforms and containerization (Docker, Kubernetes).
  • Familiarity with data engineering tools (e.g., Airflow, Spark) and ML Ops frameworks.
  • Solid understanding of software engineering principles and DevOps practices.
  • Ability to communicate complex technical concepts to non-technical stakeholders.

Donato Technologies Inc. is a trusted IT staffing, consulting, and software development partner headquartered in Dallas, Texas. We support clients across industries by understanding their unique business needs and delivering tailored technology and workforce solutions. Our focus is on connecting the right talent with the right opportunity-ensuring clients receive dependable, skilled professionals and candidates receive meaningful career growth and support. We work closely with small to mid-sized organizations to provide flexible, high-quality services that drive performance, innovation, and long-term success.