Hybrid Cloud Software Engineer: Scale & Innovate in San Jose

Hewlett Packard Enterprise

San Jose (CA)

Hybride

USD 143 000 - 291 000

Plein temps

Il y a 4 jours
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Résumé du poste

Hewlett Packard Enterprise seeks a Cloud Software Engineer in San Jose, CA, on a hybrid schedule. The role builds cloud-based solutions for mission-critical applications and collaborates with PMs and development partners to ensure effective delivery, deployment, operation and support.

Requirements include a BS in CS or related field, 4+ years in cloud development, and strong programming skills in Python, Java, Golang or JavaScript. Familiarity with distributed systems and Kubernetes is preferred.

Qualifications

  • Bachelor’s degree in computer science, engineering, information systems, or related quantitative discipline.
  • Master’s degree is desirable.
  • 4+ years of experience in cloud development.

Responsabilités

  • Analyses feature specifications and determines coding, testing, and integration activities.
  • Designs and develops cloud modules adhering to security policies.
  • Develops and executes test plans for performance, scale, and security.
  • Deploys cloud-based systems via CI/CD pipelines for automation.
  • Collaborates with PMs and developers to deliver cloud engagements.
  • Explores new technologies to innovate projects.

Connaissances

Python
Java
Golang
JavaScript
Kubernetes
Docker

Formation

Bachelor’s degree in computer science, engineering, information systems, or closely related quantitative discipline
Master’s desirable

Description du poste

Hewlett Packard Enterprise seeks a Cloud Software Engineer in San Jose, CA, on a hybrid schedule. The role builds cloud-based solutions for mission-critical applications and collaborates with PMs and development partners to ensure effective delivery, deployment, operation and support.

Requirements include a BS in CS or related field, 4+ years in cloud development, and strong programming skills in Python, Java, Golang or JavaScript. Familiarity with distributed systems and Kubernetes is preferred.

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