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Cloud Ops Engineer Jobs (NOW HIRING)

Client Ops Engineer Location: Berkeley Heights, NJ Hire Type: Contract Experience: Min. 10+ Summary ... Build, install, configure, manage, and scale state-of-the-art machine learning platform in cloud ...

AI/ML Ops Engineer Location - Pleasanton CA (Onsite) Job Type - Contract We are looking for a ... Familiarity with cloud platforms such as AWS, GCP, or Azure. * Strong programming skills in Python ...

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 ...

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 ...

Adtech seeks a motivated, career and customer-oriented SME Machine Learning Ops Engineer . This is ... g., cloud, edge devices) using MLOps best practices * Develop and optimize model training ...

Data/ML Ops Engineer Position Responsibilities Summary We are looking for a Data / ML Ops ... Experience with cloud platforms (AWS/GCP/Azure). * Understanding of security and privacy in AI data ...

Dev/Ops Engineer

Springfield, VA · On-site

$55.25 - $75.50/hr

Quevera is seeking a Dev/Ops Engineer to join their team, providing opportunities for innovation ... The role involves building and maintaining ECS-based Python microservices and developing AWS cloud ...

Systems Engineer - Cloud Ops

Memphis, TN · On-site

$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 ...

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Cloud Ops Engineer information

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How much do cloud ops engineer jobs pay per hour?

As of Jun 18, 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.

Is DevOps engineer a high paying job?

DevOps engineers typically earn high salaries due to their expertise in automation, cloud platforms, and tools like Docker and Kubernetes. Compensation varies based on experience, location, and certifications, but it is generally considered a well-paying role in the tech industry.

What engineers make $500,000?

Senior cloud operations engineers, especially those with extensive experience, specialized skills in cloud architecture, and certifications like AWS Certified Solutions Architect or Google Cloud Professional Cloud Architect, can earn $500,000 or more annually. High compensation is often associated with leadership roles, working in large organizations, or managing complex cloud infrastructure at scale.

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 are the key skills and qualifications needed to thrive as a Cloud Ops Engineer, and why are they important?

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 does a cloud ops engineer do?

A cloud ops engineer manages and maintains cloud infrastructure, ensuring systems are reliable, scalable, and secure. They often work with cloud platforms like AWS, Azure, or Google Cloud, using tools such as automation scripts and monitoring software to optimize performance and troubleshoot issues.

What are Cloud Ops Engineers?

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 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.

What engineers make $300,000 a year?

Senior cloud operations engineers, cloud architects, and site reliability engineers with extensive experience, advanced certifications, and expertise in tools like AWS, Azure, or Google Cloud can earn $300,000 or more annually. High compensation often reflects leadership roles, specialized skills, and working in large or high-demand organizations.
More about Cloud Ops Engineer jobs
What cities are hiring for Cloud Ops Engineer jobs? Cities with the most Cloud Ops Engineer job openings:
What states have the most Cloud Ops Engineer jobs? States with the most job openings for Cloud Ops Engineer jobs include:
AZURE ML ops Engineer

AZURE ML ops Engineer

R2 Technologies Corporation

Alpharetta, GA • On-site

$54.50 - $72.75/hr

Full-time

Posted 25 days ago


Job description

Overview:
Role: AZURE ML ops Engineer
Location: Atlanta, GA
#Role is on-site, Must relocate
Must w2 Role
  • Design and implement cloud solutions, build MLOps on cloud (AWS, Azure, or GCP)
  • Build CI/CD pipelines orchestration by GitLab CI, GitHub Actions, Circle CI, Airflow or similar tools
  • Data science model review, run the code refactoring and optimization, containerization, deployment, versioning, and monitoring of its quality
  • Data science models testing, validation and tests automation
  • Communicate with a team of data scientists, data engineers and architect, document the processes

Required Qualifications:
  • Ability to design and implement cloud solutions and ability to build MLOps pipelines on cloud solutions (AWS, MS Azure or GCP)
  • Experience with MLOps Frameworks like Kubeflow, MLFlow, DataRobot, Airflow etc., experience with Docker and Kubernetes, OpenShift
  • Programming languages like Python, Go, Ruby or Bash, good understanding of Linux, knowledge of frameworks such as scikit-learn, Keras, PyTorch, Tensorflow, etc.
  • Ability to understand tools used by data scientist and experience with software development and test automation
  • Fluent in English, good communication skills and ability to work in a team

Desired Qualifications:
  • Bachelor's degree in Computer Science or Software Engineering
  • Experience in using AWS, MS Azure or GCP services.
  • Good to have any associate Cloud Certification

Skills:
Azure,MLOP,Data Science,Kubeflow,DataRobot