Senior Cloud Developer – Kubernetes & AI Platform

Hewlett Packard Enterprise; Durham (NC); On-site; USD 93,000 - 214,000; Full time

Job summary

Hewlett Packard Enterprise seeks a Senior Cloud Developer to design, build, and own core components of a Kubernetes-based private cloud AI platform. You will translate feature specs into robust designs and production-ready code, focusing on backend services in Golang with strong emphasis on scalability and security.

You will work in a collaborative, hybrid environment; the role requires hands-on Kubernetes and CSI/PV-PVC experience, plus Linux, storage, and networking knowledge.

Qualifications

• Bachelor’s degree in Computer Science or a related field.
• 1–5 years of professional cloud or platform engineering experience.
• Hands-on with Kubernetes and containerized systems; CSI, PV/PVC lifecycle management.
• Experience with Linux, servers, storage, and networking; Golang and shell scripting.
• Experience with Git, GNU Make, and CI/CD pipelines.

Responsibilities

• Design, develop, and own core platform components of a Kubernetes-based private cloud AI platform.
• Translate feature specs into robust designs, implementation plans, and production-ready code.
• Build and evolve backend services and controllers in Golang for scalability, reliability, and security.
• Lead debugging of cross-layer issues involving applications, Kubernetes, CSI drivers and storage.
• Drive CI/CD best practices for deploying and managing cloud-native services.
• Provide code reviews and guidance to less experienced team members.
• Contribute to architectural discussions and evaluate new technologies for the platform.
• Collaborate with product managers and engineers in a hybrid team setup.

Skills

Kubernetes

CSI/PV-PVC

Linux basics

Golang

Shell scripting

Git

CI/CD

Education

Bachelor’s degree in Computer Science or related field

Tools

KVM Virtualization

Job description

Hewlett Packard Enterprise seeks a Senior Cloud Developer to design, build, and own core components of a Kubernetes-based private cloud AI platform. You will translate feature specs into robust designs and production-ready code, focusing on backend services in Golang with strong emphasis on scalability and security.

You will work in a collaborative, hybrid environment; the role requires hands-on Kubernetes and CSI/PV-PVC experience, plus Linux, storage, and networking knowledge.