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 is seeking a Senior Cloud Developer to design and own core components of a Kubernetes-based private cloud AI platform. You will build scalable backend services in Golang, drive CI/CD practices, and lead cross-layer debugging with Kubernetes and storage components.

The role emphasizes collaboration with product managers and engineers in a hybrid team, offering impact across the stack and opportunities to work on cutting-edge cloud AI workloads.

Qualifications

• Bachelor's degree required in CS or related field.
• 1–5 years of professional cloud/platform engineering experience.
• Hands-on with Kubernetes and containerized systems (CSI, PV/PVC lifecycle).
• Proficiency with Linux, storage, networking, and security fundamentals.

Responsibilities

• Design and own core platform components of a Kubernetes-based private cloud AI platform.
• Translate feature specs into robust designs and production-ready code.
• Build and evolve backend services in Golang with a focus on scalability, reliability and security.
• Lead debugging of cross-layer issues involving apps, Kubernetes, CSI, and storage.
• Drive CI/CD practices for deploying cloud-native services.
• Act as a technical reference; provide code reviews and guidance to teammates.
• Contribute to architectural discussions and evaluate new technologies.
• Collaborate with product managers and engineers in a hybrid team.

Skills

Kubernetes

Containerized systems

CSI / PV/PVC lifecycle

Linux

Storage fundamentals

Security fundamentals

Golang

Git

CI/CD pipelines

GNU Make

Education

Bachelor's degree in Computer Science or related field

Tools

Kubernetes

Git

GNU Make

CI/CD tooling

Istio

Prometheus

Cert-Manager

Job description

Hewlett Packard Enterprise is seeking a Senior Cloud Developer to design and own core components of a Kubernetes-based private cloud AI platform. You will build scalable backend services in Golang, drive CI/CD practices, and lead cross-layer debugging with Kubernetes and storage components.

The role emphasizes collaboration with product managers and engineers in a hybrid team, offering impact across the stack and opportunities to work on cutting-edge cloud AI workloads.