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As a Graduate in our Channel Partner team, you will support the onboarding of new ISV applications onto HPE platforms such as Morpheus and Private Cloud AI (PCAI). This is a hands-on technical role at the intersection of cloud-native technologies, virtualization, and AI infrastructure. You will work alongside experienced engineers, gradually taking ownership of more complex application onboarding scenarios. We are looking for someone recently graduated and in their early career who already has a solid technical foundation and — most importantly — a genuine drive to grow into a broad, full-stack infrastructure specialist. You will not be expected to know everything on day one; you will be expected to learn fast.
Job Responsibility
Support the onboarding of new ISV applications onto HPE platforms such as Morpheus and Private Cloud AI (PCAI)
Work alongside experienced engineers, gradually taking ownership of more complex application onboarding scenarios
Requirements
Working knowledge of Linux in a server/operations context (command line, basic system administration, troubleshooting)
Foundational understanding of containerization — you have built and run your own Docker (or Podman) images and understand the basic concepts behind them
Foundational understanding of Kubernetes — you know what a Pod, Deployment, Service, and Namespace are, and you have at least deployed an application to a cluster (e.g. minikube, kind, or a managed cluster during studies / personal projects)
Practical knowledge of Git, including branching and working with remote repositories
Basic networking literacy — HTTP/HTTPS, REST APIs, DNS, DHCP, VLANs — at a level allowing you to read documentation and reason about how services communicate
Basic SQL
Strong learning mindset — ability to quickly pick up new IT technologies hands-on, read technical documentation independently, and translate it into working configurations
Good command of English (written and spoken) — sufficient to work with technical documentation and communicate with international teams
Graduated from a university within the last 12 months from start date on
Full-time availability
Polish & English on an advanced professional level
Nice to have
Hands-on experience with Helm / Helm Charts
Exposure to Kubernetes cluster components such as CSI, CNI, or Ingress Controllers
Experience writing Kubernetes manifests (Deployment, StatefulSet, PVC, Service) based on container image documentation
Familiarity with server virtualization (VMware vSphere, Hyper-V, or KVM-based solutions) — even at the level of managing VMs in a home lab
Awareness of Infrastructure as Code principles and Git-based infrastructure workflows
Any exposure to on-premises LLM hosting or AI/ML infrastructure (model serving, GPU workloads, inference frameworks)
Experience working with Windows Server environments
Any prior contact with enterprise IT infrastructure — servers, storage arrays, LAN/SAN networking
What we offer
Initial extensive onboarding
Ongoing learning and development throughout the duration of the program
Be mentored by at least one senior member of the team
Competitive salary
Great work-life balance including hybrid working and Wellness Fridays initiative