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Remote Cloud Computing Jobs in Missouri (NOW HIRING)

Jobgether

$49 - $67.25/hr

The role offers exposure to GPUs, Kubernetes, distributed computing, infrastructure as code, and ... Remote working flexibility and significant ownership over your work. * Career growth and continuous ...

Kohl's

Background in software development and working knowledge of cloud computing concepts * Demonstrated ability to learn new technologies or techniques quickly * Open-minded approaches to problem-solving ...

New

Jobgether

$42.75 - $55/hr

You will engage with C-level technology leaders and help customers solve complex cloud, AI, and ... Remote work is available from Europe in a fast-moving, international environment focused on AI ...

Kohl's

$95K - $131K/yr

... Cloud Platform services, particularly Vertex AI, BigQuery and Dataproc. * Extensive expertise with CI/CD and * IaC best practices * Extensive knowledge of distributed computing and big data ...

Kohl's

... computing environment. You will utilize both cloud-based and on-prem tools to deliver scalable, reliable and secure solutions. What You'll Do * Implement software engineering best practices and ...

All JobsCloud Computing JobsRemote Cloud Computing JobsRemote Cloud Computing Jobs in Missouri

Remote Cloud Computing information

See Missouri salary details

$10

$57

$79

How much do remote cloud computing jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for remote cloud computing in Missouri is $57.89, according to ZipRecruiter salary data. Most workers in this role earn between $50.72 and $69.47 per hour, depending on experience, location, and employer.

What is remote cloud computing?

Remote cloud computing refers to the delivery of computing services—such as servers, storage, databases, networking, software, and analytics—over the internet instead of using local servers or personal devices. Professionals in this field work from remote locations and help businesses manage, deploy, and maintain cloud-based infrastructure and services. This allows companies to scale resources, improve collaboration, and reduce IT costs while enabling employees to work from anywhere with an internet connection.

What are the key skills and qualifications needed to thrive as a remote cloud computing professional?

To thrive as a Remote Cloud Computing professional, you need a strong background in IT infrastructure, cloud architecture, and virtualization, typically supported by a degree in computer science or a related field. Familiarity with major cloud platforms like AWS, Azure, or Google Cloud, as well as certifications such as AWS Certified Solutions Architect or Microsoft Certified: Azure Administrator, is highly valuable. Excellent problem-solving, communication, and self-management skills help you effectively collaborate and troubleshoot in a distributed work environment. These skills ensure secure, scalable, and efficient cloud solutions that meet organizational needs, especially when working remotely.

What are some common challenges faced by professionals working in remote cloud computing roles, and how can they be addressed?

Remote cloud computing professionals often encounter challenges related to communication, collaboration across time zones, and ensuring robust security practices when accessing sensitive data remotely. To address these issues, it's important to establish clear communication channels, use collaborative tools like Slack or Microsoft Teams, and follow company security protocols such as VPN usage and multi-factor authentication. Regular check-ins with your team and continuous learning about emerging cloud security trends can also help maintain productivity and safeguard data in a remote environment.

What is the difference between Remote Cloud Computing vs Remote Cloud Support Specialist?

AspectRemote Cloud ComputingRemote Cloud Support Specialist
Required CredentialsCloud certifications (AWS, Azure, GCP), technical degreesCloud certifications, technical knowledge, customer service skills
Work EnvironmentDesigning, deploying, managing cloud infrastructureProviding technical support, troubleshooting cloud issues
Employer & Industry UsageTech companies, cloud service providers, enterprisesIT support firms, cloud service providers, enterprise IT teams
Common Search & Comparison IntentUnderstanding cloud roles, career paths in cloud computingSupport roles, troubleshooting cloud problems, customer assistance

Remote Cloud Computing involves designing and managing cloud infrastructure, requiring technical certifications and a focus on deployment. In contrast, Remote Cloud Support Specialists focus on troubleshooting and assisting users with cloud issues, emphasizing customer service skills. Both roles are integral to cloud services but differ in responsibilities and skill sets.

Are remote cloud computing jobs still in demand?

Remote cloud computing jobs remain in high demand due to ongoing digital transformation and increased reliance on cloud services. Skills in platforms like AWS, Azure, or Google Cloud, along with certifications, enhance job prospects in this field.

Can remote cloud computing work remotely?

Remote cloud computing jobs are common and typically involve managing cloud infrastructure, deploying applications, and monitoring systems from a remote location. These roles often require familiarity with cloud platforms like AWS, Azure, or Google Cloud, and can be performed entirely online with a reliable internet connection. Many employers offer flexible schedules, making remote work a standard option in this field.

What are the most commonly searched types of Cloud Computing jobs in Missouri?

The most popular types of Cloud Computing jobs in Missouri are:

What are popular job titles related to Remote Cloud Computing jobs in Missouri?

For Remote Cloud Computing jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Remote Cloud Computing jobs in Missouri look for?

The top searched job categories for Remote Cloud Computing jobs in Missouri are:

What cities in Missouri are hiring for Remote Cloud Computing jobs?

Cities in Missouri with the most Remote Cloud Computing job openings:

Remote Cloud Computing jobs near you
Infographic showing various Remote Cloud Computing job openings in Missouri as of August 2026, with employment types broken down into 57% Full Time, and 43% Contract. Highlights an 100% Remote job distribution, with an average salary of $120,407 per year, or $57.9 per hour.

Educational Content Author - Cloud Solution Architect, Nebius Academy

Remote

Jobgether
See more jobs at Jobgetherexternal

$49 - $67.25/hr

Full-time

Posted 4 days ago

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Educational Content Author - Cloud Solution Architect, Nebius Academy based in Netherlands.

This role combines cloud solution architecture, technical education, and developer-focused content creation in a rapidly evolving AI infrastructure environment.
You will help developers and academic partners understand and effectively use advanced cloud computing and ML infrastructure technologies.
Your work will span hands-on tutorials, sample code, reference architectures, video content, and live technical sessions.
You will also collaborate with universities and technical partners to design practical cloud solutions tailored to their requirements.
The role offers exposure to GPUs, Kubernetes, distributed computing, infrastructure as code, and modern AI/ML workloads.
You will work closely with experienced engineers and solution architects while developing your own expertise across architecture and developer advocacy.
This is an opportunity to turn complex infrastructure concepts into clear, practical learning experiences that accelerate adoption and technical success.

Accountabilities
  • Create high-quality educational content demonstrating how to effectively use cloud computing workloads, including virtual machines, GPU clusters, Kubernetes, SLURM, Soperator, and related technologies.
  • Develop practical sample code, tutorials, technical guides, and reference architectures that demonstrate cloud and ML infrastructure best practices.
  • Produce video tutorials and participate in live coding sessions to make complex technical concepts accessible to developers and technical audiences.
  • Work with academic partners, including universities, to understand their technical requirements and translate them into appropriate cloud solution architectures.
  • Collaborate with solution architecture and engineering teams to design and document Infrastructure as Code solutions, technical documentation, and implementation guides.
  • Act as a trusted technical advisor to academic partners, providing guidance on GPU cloud technologies, infrastructure design, and best practices.
  • Help communicate the capabilities and differentiators of cloud infrastructure services and AI-related platforms to technical audiences.
  • Design practical deployment patterns and solutions that address real-world compute, storage, networking, and ML workload requirements.
  • Optimize cloud workloads and architectures for performance, efficiency, scalability, and reliability.
  • Translate complex infrastructure and AI concepts into clear, accurate, and engaging written and visual learning materials.
  • Stay current with developments in cloud infrastructure, distributed computing, GPU technologies, container orchestration, and machine learning platforms.
  • Contribute technical insights and practical experience to the broader Academy, engineering, and solution architecture communities.
Requirements:
  • 2+ years of professional experience in software development, cloud engineering, DevOps, solution architecture, or a closely related technical field.
  • Strong understanding of cloud infrastructure and distributed computing principles.
  • Hands-on experience with virtual machines, containerization, and managing compute resources in cloud environments.
  • Practical experience building Infrastructure as Code solutions, preferably using Terraform.
  • Knowledge of GPU clusters and techniques for optimizing machine learning workloads.
  • Working knowledge of Kubernetes and job schedulers such as SLURM.
  • Familiarity with infrastructure components including networking, storage optimization, resource management, and deployment patterns.
  • Experience optimizing the performance of diverse workloads in cloud environments.
  • Strong programming skills, particularly in Python, with familiarity with the PyTorch ecosystem.
  • Excellent written communication skills and the ability to explain sophisticated technical concepts clearly and effectively.
  • Demonstrated ability to create technical documentation, tutorials, examples, or other educational materials.
  • Strong problem-solving skills and the ability to approach complex infrastructure challenges in a structured way.
  • Ability to collaborate effectively with engineers, solution architects, academic partners, and other technical stakeholders.
  • Experience with MLflow, Apache Airflow, or Kubeflow is an advantage.
  • Familiarity with cloud ML platforms such as AWS, GCP, Azure ML, or NVIDIA NGC is a plus.
  • Experience managing hybrid cloud or on-premises GPU infrastructure is desirable.
  • Experience working with technology partners or integrating third-party solutions is an advantage.
  • Public speaking or technical presentation experience is a plus.
  • Authorization to work in the country where you are based, without requiring employment sponsorship.
Benefits:
  • Competitive compensation.
  • Remote working flexibility and significant ownership over your work.
  • Career growth and continuous learning opportunities.
  • Opportunity to develop expertise across cloud architecture, AI infrastructure, technical education, and developer advocacy.
  • Exposure to impactful AI and cloud infrastructure projects.
  • Collaboration with highly skilled engineers, solution architects, and technical professionals.
  • International working environment with diverse teams and perspectives.
  • Opportunity to work with academic and technology partners on real-world cloud solutions.
  • Fast-moving environment that encourages innovation, experimentation, and bold thinking.
  • Meaningful opportunity to contribute to the development of modern AI infrastructure and technical education.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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