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Cloud Computing Remote Internship Jobs (NOW HIRING)

kgs

Cloud Architect - Services (REMOTE)

Washington, DC · Remote

... a Cloud Architect - Services to support KDS and our government customer. The position is remote ... Knowledge of serverless computing architectures and event-driven design patterns. * Experience with ...

Healthesystems

Cloud and AI Platform Architect - Remote

$65 - $89/hr

Lead organization to adopt / incorporate cloud computing correctly and in the most effective manner * Develop and coordinate the cloud architecture * Coordinate cloud architecture across all ...

kgs

Cloud Architect - Services (REMOTE)

Washington, DC · Remote

... a Cloud Architect - Services to support KDS and our government customer. The position is remote ... Knowledge of serverless computing architectures and event-driven design patterns. * Experience with ...

Lexical Intelligence LLC

NLM Cloud Engineer I

Bethesda, MD · Remote

$59.50 - $79.50/hr

The Cloud Engineer I will have a firm understanding of cloud computing platforms, CI/CD pipelines ... Knowledge of FedRAMP requirements and secure remote access administration * Prior experience ...

Lexical Intelligence

NLM Cloud Engineer I

Bethesda, MD · Remote

$59.75 - $79.75/hr

The Cloud Engineer I will have a firm understanding of cloud computing platforms, CI/CD pipelines ... Knowledge of FedRAMP requirements and secure remote access administration * Prior experience ...

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Cloud Computing Remote Internship information

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How much do cloud computing remote internship jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for cloud computing remote internship in the United States is $17.31, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What is a cloud computing remote internship?

A Cloud Computing Remote Internship is a training opportunity where interns work remotely to gain hands-on experience with cloud technologies, platforms, and services. Interns typically learn about cloud infrastructure, deployment models, security, and automation using providers like AWS, Azure, or Google Cloud. They may work on real-world projects, assist in cloud migrations, or develop cloud-based applications. This internship helps build practical skills, industry knowledge, and potential career opportunities in cloud computing.

What types of projects and responsibilities can I expect during a cloud computing remote internship?

As a Cloud Computing Remote Intern, you will typically work on real-world projects such as deploying and monitoring cloud-based applications, automating workflows, or assisting with cloud infrastructure setup and management. Your daily or weekly responsibilities might include writing scripts, participating in code reviews, documenting processes, and supporting team troubleshooting efforts. You will often collaborate with experienced cloud engineers, attend virtual meetings, and contribute to group problem-solving sessions. This exposure allows you to develop practical technical skills and gain insight into how cloud teams function in a professional, remote setting.

What are the key skills and qualifications needed to thrive in a cloud computing remote internship, and why are they important?

To thrive as a Cloud Computing Remote Intern, you should have a foundational understanding of cloud platforms (such as AWS, Azure, or Google Cloud), basic programming knowledge, and familiarity with networking and security concepts. Exposure to tools such as Docker, Kubernetes, Git, and credentials like AWS Certified Cloud Practitioner are often advantageous. Strong self-motivation, effective time management, and clear written and verbal communication skills set candidates apart in a remote setting. These abilities ensure successful project contributions, learning agility, and seamless collaboration in distributed cloud environments.

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Cloud Computing Remote Internship jobs near you
Infographic showing various Cloud Computing Remote Internship job openings in the United States as of August 2026, with employment types broken down into 93% Full Time, 2% Part Time, and 5% Contract. Highlights an 78% Physical, 7% Hybrid, and 15% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.

Cloud Solutions Architect 1735

Sistema Technologies, Inc.

Austin, TX • On-site, Remote

$63.25 - $86.50/hr

Full-time

Re-posted 27 days ago

Key responsibilities

  • Designs and implements cloud computing infrastructure and applications.

  • Supports multi-cloud enterprise environments by monitoring performance, reliability, and security.

  • Supports and maintains cloud platforms, data pipelines, and analytics workloads in production environments.

Job description

Austin, TX
Cloud Solutions Architect - Solicitation# 529701735
Texas Health and Human Services Commission (HHSC)
The cloud architect is responsible for the cloud computing initiatives within an organization and for directing the architectural aspects of a cloud brokering team across all aspects of IT and the business. Responsible for the planning and engineering of an organization's cloud computing infrastructure and applications. Implements and designs hardware and software. Familiar with standard concepts, practices, and procedures of cloud technology, including Software as Service (SaaS), Platform as Service (PaaS), or Infrastructure as a Service (IaaS).
Supports a regulated, multi-cloud enterprise environment, requiring expertise in data/AI platforms, vendor coordination, monitoring, and 24x7 operations, while ensuring security, compliance, and system reliability.
Position will be 3 days remote with 2 days (Mon & Wed) required to be onsite at the location listed above. **Subject to change per the hiring team**
Program will only allow candidates who are LOCAL TO THE AUSTIN AREA ONLY (Within 50-mile radius).
Minimum Requirements: Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity. Actual
Years
Experience Years
Experience
Needed Required/
Preferred Skills/Experience 8 Required MultiCloud Platform Expertise (Azure + GCP) 8 Required GenAI & Enterprise AI Platform Knowledge (Gemini, Vertex AI) 8 Required Expertise in Azure Monitor, Log Analytics, GCP Cloud Monitoring, and logging frameworks to track performance, reliability, and usage. 8 Required Experience using Logstash for log ingestion, transformation, and integration with Azure Log Analytics for proactive monitoring and alerting 8 Required Ability to design alerting solutions using Twilio (SMS/voice) for ETL failures and operational notifications. 8 Required Experience with Blob Storage, Data Lakes, and structured storage systems enabling analytics and AI workloads. 8 Required Hands-on experience supporting data pipelines, data platforms, and analytics workloads in enterprise environments 8 Required Experience with Informatica Cloud (IICS), Secure Agents, APIs, and integration patterns, including handling monitoring and integration challenges. 8 Required Strong implementation of IAM (least privilege), network security, audit logging, and compliance (FedRAMP/regulated env.). 8 Required Ability to support Tier 2/3 issues, debug logs, resolve platform access issues, and maintain stability in production environments 3 Preferred Familiarity building and managing Tableau Cloud environments 3 Preferred Experience integrating ArcGIS or geospatial data systems with cloud data platforms. 3 Preferred Knowledge of scripting (Python, Bash) and automation (serverless, CI/CD pipelines). [https://ou...essageItem | Outlook] 3 Preferred Exposure to GKE, AKS, Docker, and microservices architectures. 3 Preferred Familiarity with data mesh, ETL/ELT architectures, API integrations, and enterprise data standards. 3 Preferred Strong analytical thinking to assess platform issues, make timely architectural decisions, and drive resolution in high-pressure environments. 3 Preferred Ability to take end-to-end ownership of platform stability, reliability, and delivery, proactively identifying risks and driving outcomes 2 Preferred Ability to clearly translate complex technical concepts into business-friendly language and actively engage with stakeholders, leadership, and end users 2 Preferred Proven ability to lead and coordinate across engineering, data, infrastructure, and business teams, ensuring alignment and delivery of platform initiatives.
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