Infrastructure Deployment Automation Intern

Infrastructure Deployment Automation Intern This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office.

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next.

We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

Internship Opportunity:
Infrastructure and Deployment Automation Intern Hewlett Packard Enterprise (HPE) invites motivated students or early-career professionals to join our team as an Infrastructure and Deployment Automation Intern. In this role, you will assist in designing, building, and maintaining automation solutions for large-scale High-Performance Computing (HPC) and AI environments. This internship offers hands‑on experience in software development, systems engineering, Dev Ops, and AI-assisted operations within a cutting-edge technology setting.

• Support the development of automated workflows for deploying and managing HPC and AI infrastructure.
• Assist in scripting and automating tasks using languages such as Python, Bash, or similar.
• Help build and test CI/CD pipelines for infrastructure components, containers, and software stacks.
• Contribute to infrastructure provisioning, configuration, and recovery activities under supervision.
• Collaborate with team members to integrate compute, networking, storage, and container technologies.
• Participate in creating documentation, operational procedures, and troubleshooting guides.
• Learn to use advanced AI tools and techniques, including natural language queries and retrieval‑augmented generation, to improve documentation and support workflows.
• Gain exposure to monitoring, logging, and security best practices for large‑scale systems.

• Enrolled in a Bachelor’s or Master’s degree program in Computer Science, Software Engineering, or a related field.
• Basic understanding of Linux operating systems, scripting, and programming languages such as Python or Bash.

• Interest in automation, infrastructure, HPC, or AI/ML systems.
• Strong problem‑solving skills and eagerness to learn new technologies.
• Good communication skills and ability to work collaboratively in a team environment.

• Hands‑on experience with industry‑leading HPC and AI infrastructure.
• Mentorship from experienced engineers and researchers.
• Opportunity to contribute to innovative projects in a fast‑paced environment.
• Exposure to the latest AI‑assisted development tools and automation practices.
• Potential pathway to full‑time employment or further professional development.

HPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities.

If you believe you require accommodation during any stage of the application or interview process, please submit your request by completing our secure form linked here.

Note:

This option is reserved for applicants needing assistance/reasonable accommodation related to a disability.

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