Senior Cloud Developer - Kubernetes AI Platform

Hewlett Packard Enterprise

Spring (TX)

On-site

USD 93,000 - 214,000

Full time

14 days+

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Job summary

Hewlett Packard Enterprise is seeking 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 scalable backend services and collaborate with product managers in a hybrid team.

We expect strong experience with Golang, Kubernetes, CI/CD, Linux fundamentals, and security, plus hands-on work with containerized systems and Git workflows.

Qualifications

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

Responsibilities

  • Design, develop, and own core platform components of a Kubernetes-based private cloud AI platform.
  • Translate feature specifications into robust designs and production-ready code.
  • Build and evolve backend services with a focus on scalability and security.
  • Lead debugging of cross-layer issues and guide teammates through code reviews.
  • Contribute to architectural discussions and evaluate new technologies.
  • Collaborate with product managers and engineers in a hybrid team.

Skills

Golang
Shell scripting
Kubernetes
CI/CD
Linux fundamentals
Security fundamentals

Education

Bachelor’s degree in Computer Science or related field

Tools

Git
GNU Make

Job description

Hewlett Packard Enterprise is seeking 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 scalable backend services and collaborate with product managers in a hybrid team.

We expect strong experience with Golang, Kubernetes, CI/CD, Linux fundamentals, and security, plus hands-on work with containerized systems and Git workflows.

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