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Cloud Computing Internship Jobs (NOW HIRING)

Hirekeyz Inc

Lead Machine Learning Engineer

Fort Belvoir, VA · On-site

$115K - $152K/yr

... using distributed computing (Internship experience does not apply) * Proven track record in ... Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML ...

Walter P Moore

Software Developer Intern

Austin, TX · Remote

$19 - $25/hr

... interns to work with us and gain experience developing innovative and highly technical web applications. Some of these applications include technologies such as Machine Learning, Cloud Computing ...

Resolve Tech Solutions

Junior Engineering Intern

Addison, TX · On-site

$16.25 - $21/hr

... cloud computing, operating systems (Linux or Windows), and SAP technologies. Throughout your internship, you'll work alongside experienced engineers to enhance your skills and knowledge in these key ...

Resolve Tech Solutions

Junior Engineering Intern

Addison, TX

$16.25 - $21/hr

... cloud computing, operating systems (Linux or Windows), and SAP technologies. Throughout your internship, you'll work alongside experienced engineers to enhance your skills and knowledge in these key ...

Iron.io

Marketing Internship (Paid)

San Francisco, CA

$17.75 - $23.50/hr

We're building next generation high-scale cloud infrastructure services. You: Love technology Live in San Francisco or within a BART ride Can confidently answer "what is cloud computing?" when we ask ...

Iron.io

Marketing Internship (Paid)

San Francisco, CA · On-site

$17.75 - $23.50/hr

Can confidently answer "what is cloud computing?" when we ask you * Love Tweeting, blogging, Facebooking, socializing * Can build a basic web page * Thrive in a fast-paced, "controlled chaotic ...

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How much do cloud computing internship jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for cloud computing internship in the United States is $15.54, according to ZipRecruiter salary data. Most workers in this role earn between $12.50 and $17.55 per hour, depending on experience, location, and employer.

What is a Cloud Computing Internship job?

A Cloud Computing Internship is a temporary position that provides hands-on experience with cloud technologies, platforms, and services. Interns may work on projects involving cloud infrastructure, virtualization, security, automation, and DevOps. They typically use platforms like AWS, Azure, or Google Cloud to develop, test, and deploy applications. This role helps interns build technical skills, gain industry exposure, and prepare for cloud-related careers.

What are the key skills and qualifications needed to thrive in the Cloud Computing Internship position, and why are they important?

To thrive as a Cloud Computing Intern, a solid understanding of computer science fundamentals, familiarity with cloud architectures, and basic programming skills are essential, often demonstrated through coursework or relevant projects. Interns frequently work with platforms like AWS, Azure, or Google Cloud, and may benefit from introductory certifications such as AWS Cloud Practitioner. Strong problem-solving skills, effective communication, and a willingness to learn new technologies help interns stand out in collaborative, fast-paced environments. These abilities enable interns to adapt quickly, contribute meaningfully to technical projects, and develop valuable industry experience.

What types of projects or tasks can I expect to work on during a Cloud Computing Internship?

As a Cloud Computing Intern, you can expect to work on tasks such as deploying cloud-based applications, assisting with infrastructure automation, and supporting cloud migration projects. You may also help monitor and optimize cloud resources, write scripts to automate processes, or participate in troubleshooting technical issues with the cloud team. Interns are often given opportunities to collaborate with experienced engineers, gain hands-on experience with leading cloud platforms, and contribute to real-world solutions. This hands-on work helps you develop practical skills and build a strong foundation for a future career in cloud computing.
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Cloud Computing Internship jobs near you
Infographic showing various Cloud Computing Internship job openings in the United States as of May 2026, with employment types broken down into 70% Full Time, 15% Part Time, and 15% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $32,333 per year, or $15.5 per hour.

Lead Machine Learning Engineer

Hirekeyz Inc

Fort Belvoir, VA • On-site

$115K - $152K/yr

Contractor

Posted 17 days ago

Job description

Role: Lead Machine Learning Engineer

Location: Ft. Belvoir, VA (On-site with Hybrid Option)

Duration: Long Term Contract

Job Description:

As a consultant, will be working to assist a DoD U.S. Army Command to create cybersecurity solutions working with cloud-based architecture (AWS Services).  You will work directly the stakeholders to understand requirements and work with Army’s Security teams to ensure the technologies available to the Government can be turned into solutions that they can use. Liaise with government software vendors and other asset creators; lead coordination of point solutions into broader capabilities for Army Defense Cyber Operations (DCO).  You will be helping our military defend our cyber security infrastructure by delivering software capabilities. 

Required Skills:

  • Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field
  • Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field
  • At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)
  • Proven track record in designing, building, and/or delivering ML models and components that solve real-world business problems, while working in collaboration with other technical teams.
  • Collaborate as part of a cross-functional Agile team to create and enhance capabilities that enables state-of-the-art big data and ML applications.
  • Retrain, maintain, and monitor models in production.
  • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.
  • Be a trusted advisor to the Government to ensure all third party vendors platforms and code delivered is “fit for purpose”
  • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and
  • Use programming languages like Python, Scala, or Java.
  • Abilty to mentor and coach junior resources with delivery tasks.
  • Self-motivated, with the ability to work effectively both independently and in a team environment

Preferred Skills:

  • Certifications in Machine Learning / Artificial Intelligence / Data Science
  • Familiarity with agile development methodologies
  • 5-8 years of experience in a ML/AI development and/or lead role