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Internship Cloud Developer Jobs (NOW HIRING)

Qualcomm

Staff Software Cloud Developer

San Diego, CA · On-site

$134K - $202K/yr

Mentors young engineers and Interns to provide them technical guidance to help them implement Major features. Provides technical expertise on implementing many Cloud native backend solutions to ...

AE Business Solutions

Jr. Cloud Engineer

Madison, WI · On-site

$56.25 - $75/hr

Experience through internships, labs, personal projects, coursework, or certifications ... Modern DevOps and platform engineering practices Why This Opportunity? * Direct mentorship from an ...

AE Business Solutions

Jr. Cloud Engineer

Madison, WI · Hybrid

$56.25 - $75/hr

Experience through internships, labs, personal projects, coursework, or certifications ... Modern DevOps and platform engineering practices Why This Opportunity? * Direct mentorship from an ...

Vidoori

Cloud Engineer (Junior)

Hyattsville, MD · On-site +1

$56 - $74.75/hr

Understanding of Agile delivery methods, Scrum, Kanban, DevOps, or site reliability engineering practices. * Experience with cloud labs, personal projects, internships, university projects, or ...

Vidoori

Cloud Engineer (Junior)

Hyattsville, MD · On-site

$56 - $74.75/hr

Understanding of Agile delivery methods, Scrum, Kanban, DevOps, or site reliability engineering practices. * Experience with cloud labs, personal projects, internships, university projects, or ...

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How much do internship cloud developer jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for internship cloud developer in the United States is $22.89, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $24.28 per hour, depending on experience, location, and employer.

What is the difference between Internship Cloud Developer vs Cloud Engineer?

AspectInternship Cloud DeveloperCloud Engineer
Required CredentialsTypically pursuing or recent graduate in CS or related fieldRelevant certifications (AWS, Azure, GCP) often required
Work EnvironmentInternship setting, learning-focused, entry-level tasksFull-time, professional environment, responsible for cloud solutions
Employer & Industry UsageTech companies, startups, internships in various industriesTech firms, cloud service providers, enterprise IT departments

The main difference between an Internship Cloud Developer and a Cloud Engineer lies in experience level and responsibilities. An Internship Cloud Developer is typically a student or recent graduate gaining foundational skills, while a Cloud Engineer is a full-time professional managing cloud infrastructure and solutions.

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Internship Cloud Developer jobs near you
Infographic showing various Internship Cloud Developer job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, 2% Part Time, and 9% Contract. Highlights an 78% Physical, 7% Hybrid, and 15% Remote job distribution, with an average salary of $47,621 per year, or $22.9 per hour.

Internship - Cloud & AI Engineering (Anthropic Claude Partner Network)

The AES Group

Bellevue, WA • Remote

$17.25 - $22.25/hr

Other

Re-posted 9 days ago

Job description

Internship - Cloud & AI Engineering (Anthropic Claude Partner Network)
Location: Remote / Hybrid
Company: The AES Group

Duration:  Summer Internship: May to Sep

About the Opportunity

The AES Group has been selected to join the Anthropic Claude Partner Network, a highly selective group of partners working directly with Anthropic to implement advanced AI solutions for enterprise customers.

Through this partnership, we have access to specialized training, tools, and certifications that are not available publicly. We are opening a limited number of seats for highly motivated students who want to work at the intersection of AI, cloud, and real-world enterprise deployment.

This is a selective, training-first program designed for students who want to build real capability, not just add an internship line to their resume.

What Makes This Different

Most internships focus on small tasks or internal projects.
This program is built to prepare you for real-world AI implementation:

  • Direct alignment with Anthropic’s partner ecosystem
  • Exposure to real enterprise use cases
  • Mentorship from senior professionals with 25+ years of experience
  • Structured training tied to real deployment scenarios

Key Responsibilities

  • Complete Anthropic partner training programs focused on AI and cloud implementation
  • Work alongside senior engineers to understand how AI solutions are designed and deployed
  • Support internal build efforts involving APIs, workflows, and cloud-based systems
  • Participate in problem solving discussions tied to real or near-real customer scenarios

Program Expectations

  • You will be given access to specialized training available only to Anthropic cloud partners
  • You are expected to complete the training and pass the associated certification exams
  • This program requires a high level of commitment, discipline, and self-direction
  • The goal is to prepare you to contribute to real AI and cloud implementation work

Compensation & Structure

  • This is an unpaid, training-focused internship program
  • All fees associated with Anthropic certification exams will be fully covered by The AES Group

What You’ll Gain

  • Access to Anthropic partner-only training and tools
  • Opportunity to earn Anthropic certification available only through this partner channel
  • Full coverage of certification exam fees by The AES Group
  • Hands-on exposure to enterprise AI implementation scenarios
  • Mentorship from experienced industry professionals
  • A highly differentiated experience for careers in AI, engineering, and consulting

Who Should Apply

We are looking for candidates who are serious about building in AI:

  • Undergraduate students in Computer Science, Engineering, or related fields
  • Strong interest in AI, cloud computing, and emerging technologies
  • Experience with programming, preferably Python
  • Demonstrated initiative through projects, coursework, or self-learning
  • Ability to work through ambiguity and learn quickly
  • Strong communication and problem solving skills

Selection Process

Due to limited seats, candidates will be selected based on:

  • Demonstrated interest in AI and cloud technologies
  • Technical foundation and learning ability
  • Motivation and commitment to complete the program

How to Apply

Submit:

  • Resume
  • A short note on why you are interested and what you hope to gain from this program