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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.
Job Responsibility:
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, 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
Requirements:
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, CSI, PV/PVC lifecycle management
Prior Experience with Infrastructure layers such as Linux, Server, Storage and Networking
Advanced programming skills in Golang and shell scripting
Strong understanding of Linux, Storage, and security fundamentals
Hands-on experience with Git, GNU Make, and CI/CD pipelines
Nice to have:
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)