Hewlett Packard Enterprise (HPE) is a global edge-to-cloud technology company providing solutions across cloud computing, networking, data infrastructure, hybrid IT, and digital transformation.

About the Role

HPE is seeking a Cloud Engineer Intern to support cloud development, infrastructure deployment, automation, testing, and troubleshooting. This hybrid internship is designed for students pursuing a Bachelor's or Master's degree in Computer Science, Computer Engineering, Software Development, IT, or a related field.

Key Responsibilities

Assist in designing and deploying cloud infrastructure and services.

Support cloud application development and integration.

Contribute to cloud automation and deployment improvements.

Test and troubleshoot cloud systems for reliability and performance.

Work with engineering teams on software and cloud projects.

Support cloud operations, monitoring, and technical troubleshooting.

Participate in Agile development, code reviews, and technical discussions.

Research emerging cloud technologies and best practices.

Required Qualifications

Currently pursuing a Bachelor's or Master's degree in Computer Science, Computer Engineering, Software Development, IT, or related field.

Knowledge of at least one programming language such as Python, Java, JavaScript, C, or C++.

Basic understanding of Object-Oriented Programming and software development.

Knowledge of Linux/GNU, TCP/IP networking, and SQL/NoSQL databases.

Strong analytical, problem-solving, and communication skills.

Preferred Qualifications

Exposure to Java, Java frameworks, or application servers.

Familiarity with REST/SOAP APIs.

Knowledge of Angular, Node.js, or React.js.

Familiarity with Git and version control.

Exposure to WebSockets, IPC, or process scheduling.

Cloud, software development, or open-source project experience.

Technical Skills

Programming: Python, Java, JavaScript, C, C++

Cloud: Cloud infrastructure, deployment, automation

Development: OOP, MVC, REST, SOAP, full-stack development

Systems: Linux/GNU, TCP/IP, IPC, process scheduling

Databases: SQL, NoSQL

Tools: Git, Java frameworks, application servers, Angular, Node.js, React.js

Soft Skills

Analytical and structured problem-solving.

Strong teamwork and communication.

Adaptability and willingness to learn.

Attention to detail.

Ability to work independently while seeking guidance when required.

Day-to-Day Responsibilities

Work with cloud and software engineering teams on development tasks, cloud infrastructure configuration, testing, troubleshooting, automation, and documentation. Participate in team meetings, code reviews, and technical discussions while gaining hands-on experience with enterprise cloud technologies.

Education Requirements

Currently pursuing a Bachelor's or Master's degree in Computer Science, Computer Engineering, Software Engineering, IT, or a related technical discipline.

Experience Requirements

No extensive professional experience is required. Academic projects, personal programming projects, cloud projects, hackathons, open-source contributions, or previous technology internships are valuable.

Compensation and Benefits

Salary: USD $35–$46 per hour, depending on location and qualifications.

Health and wellbeing benefits.

Professional and career development programs.

Learning opportunities across HPE technologies.

Exposure to experienced engineering teams and enterprise technology projects.

Work Environment

Hybrid: Employees are expected to work from an HPE office approximately 2 days per week. Exact arrangements may vary by location and role.

Career Growth Path

This internship can provide a foundation for careers including Cloud Engineer, Cloud Developer, Software Engineer, DevOps Engineer, Site Reliability Engineer, Platform Engineer, and Cloud Infrastructure Engineer.

Salary Expectations

The listed HPE salary range is USD $35–$46 per hour across the specified U.S. locations. Actual offers may vary based on location, education, training, experience, and technical skills.

Hiring Tips for Candidates

Resume Tips

Highlight Python, Java, JavaScript, C/C++, Linux, Git, and cloud skills.

Include academic and personal software projects.

Quantify project results where possible.

Mention APIs, databases, networking, and cloud exposure.

Interview Preparation Guide

Review programming fundamentals, OOP, data structures, Linux, TCP/IP, databases, Git, APIs, cloud concepts, debugging, and software testing. Be prepared to explain your technical projects and your specific contributions.

Common Mistakes to Avoid

Listing technologies without practical examples.

Failing to explain projects on your resume.

Ignoring Linux, networking, and programming fundamentals.

Using a generic resume.

Preparing only for coding questions and ignoring behavioral interviews.

Frequently Asked Questions (FAQ)

Is professional cloud experience required?

No. This is an internship designed for students.

What degree is required?

A Bachelor's or Master's degree in Computer Science, Computer Engineering, Software Development, IT, or a related field is required while pursuing the degree.

Is programming knowledge required?

Yes. Candidates should know at least one language such as Python, Java, JavaScript, C, or C++.

Is the internship remote?

The position is primarily hybrid, with approximately two days per week in an HPE office.

Are certifications required?

No certification is specified as mandatory.

What technologies should candidates know?

Programming, Linux, networking, databases, Git, APIs, and cloud computing fundamentals are particularly relevant.

Career Resources

Career Advice: Cloud engineering, software development, DevOps, and cloud infrastructure career paths.

Resume Guides: Focus on technical skills, projects, coursework, and measurable achievements.

Interview Preparation: Practice programming, cloud, networking, Linux, databases, and behavioral questions.

Salary Research: Compare internship compensation by location and technology specialization.

Skill Roadmap: Programming → Linux → Networking → Databases → Git → APIs → Cloud → Automation.

Certifications: AWS Cloud Practitioner, Azure Fundamentals, or Google Cloud entry-level certifications can supplement practical experience.

Industry Trends: Follow cloud-native development, hybrid cloud, Kubernetes, automation, AI-assisted development, and edge computing.

Application Process

1. Submit an online application through HPE Careers.

2. Recruiter/team reviews qualifications.

3. Complete technical assessment if required.

4. Participate in technical and behavioral interviews.

5. Receive final selection and offer communication.

Application Deadline: Estimated May 25, 2027.

Apply using below link.