Platform AI Engineer

Platform AI Engineer
This role has been designed as ‘’Onsite’ with an expectation that you will primarily work from an HPE office.
Who We Are:
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.
Job Description:
In the HPE Hybrid Cloud, we lead the innovation agenda and technology roadmap for all of HPE. This includes managing the design, development, and product portfolio of our next-generation cloud platform, Green Lake. Working with customers, we help them reimagine their information technology needs to deliver a simple, consumable solution that helps them drive their business results. Join us redefine what’s next for you.
Job Family Definition:
HPE’s Private Cloud AI organization is looking for a Senior Cloud Developer to support our AI Essentials product. HPE AI Essentials is a software solution within HPE's Private Cloud AI platform designed to accelerate AI productivity and streamline AI operations. In this role, you will have the opportunity to develop major aspects of our product: you will be expected to take on difficult problems that don’t have clear solutions, and to design, build, and iterate until we’ve reached elegant solutions that delight our customers. Along the way, you will work in a supportive and collaborative environment, with the opportunity to contribute across the stack based on your interests and experience.
Management Level Definition:
Contributions impact technical components of HPE products, solutions, or services regularly and sustainable. Applies advanced subject matter knowledge to solve complex business issues and is regarded as a subject matter expert. Provides expertise and partnership to functional and technical project teams and may participate in cross-functional initiatives. Exercises significant independent judgment to determine best method for achieving objectives. May provide team leadership and mentoring to others.
What you'll do:
Responsibilities:
· Design, develop, and own core platform components of a Kubernetes-based private cloud AI platform.
· Translate feature specifications into robust designs, implementation plans, and production-ready code.
· Build and evolve backend services and controllers in Golang, focusing on scalability, reliability, and security.
· Lead the debugging and resolution of complex cross-layer issues involving applications, Kubernetes, CNI, CSI Drivers and External Storage
· Drive CI/CD best practices for deploying and managing cloud-native services.
· Act as a technical reference point for less experienced team members; provide code reviews and guidance.
· Contribute to architectural discussions and help evaluate and integrate new technologies into the platform.
· Work closely with product managers and engineers to ensure efficient delivery in a hybrid team setup.
What you need to bring:
Education and Experience Required:
· Bachelor’s degree (or higher) in Computer Science or a related field.
· 7+ years of professional experience in cloud or platform engineering roles.
· Hands-on prior working experience with Kubernetes and containerized systems, CNI, CSI, PV/PVC lifecycle management
· Prior Experience with Infrastructure layers such as Linux, Server, GPU, Storage and Networking
· Advanced programming skills in Golang, Python and shell scripting.
· Strong understanding of Linux, Storage, and security fundamentals.
· Hands-on experience with Git, GNU Make, and CI/CD pipelines
Knowledge and Skills:
Experience with public cloud platforms and managed services (AWS, GCP, Azure).
Familiarity with databases and storage systems (e.g., Postgres, Redis, object storage).
Experience with Kubernetes ecosystem components such as:
Cert-Manager (TLS certificates)
Istio (mTLS, authN/authZ)
Kyverno (policy enforcement and admission control)
MetalLB (load balancing)
Prometheus (monitoring and observability)
Working Knowledge of KVM Virtualization
Prior Experience with application backup/restore tools ( Velero, Kasten)
Experience designing and implementing REST APIs.
GitHub Copilot or similar AI-assisted development tools
AI agent creation or agent-based engineering workflows
What We Can Offer You:
Health & Wellbeing
We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.
Personal & Professional Development
We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.
Unconditional Inclusion
We are unconditionally inclusive in the way we work and celebrate individual uniqueness. 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.
Let's Stay Connected:
Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.