Graduate Cloud Developer

Hewlett Packard Enterprise•San Jose, CA
•$108,500 - $218,500•Hybrid

About The Position

The Cloud Developer builds solutions for mission-critical applications and develops cloud-based technical approaches to solve customer problems. The role contributes to innovative service offerings for HPE’s Enterprise Wi-Fi and Switch portfolio across multiple systems, platforms, and applications. Working with moderate supervision within an established framework, the developer analyzes information and recommends appropriate action while contributing subject-matter expertise to technical problems. The position involves designing and developing streaming or batch applications using Kafka and Spark, working with data scientists and other specialists to improve AI outcomes and actionable insights for a device-management product, and building CI/CD pipelines. The role is hybrid, with an average of two days per week in an HPE office.

Requirements

  • Bachelor’s degree in computer science, engineering, information systems, or a closely related quantitative discipline.
  • Typically 2–4 years of experience.
  • Programming experience in at least one of Python, Java, or Scala.
  • Expertise in big data technologies such as Spark or Kafka.
  • Experience with design methodologies, cloud-native applications, developer tools, managed services, and next-generation databases.
  • Good written and verbal communication skills.
  • Ability to quickly learn new skills and technologies and work well with other team members.
  • Understanding of DevOps practices, including continuous integration/deployment and orchestration with Kubernetes.

Nice To Haves

  • Master’s degree.

Responsibilities

  • Design and develop applications in streaming or batch mode over Kafka and Spark.
  • Evaluate and implement new technologies and tools to improve efficiency and reduce cost.
  • Analyze and validate telemetry data, learn error patterns, and produce views showing network problem conditions and patterns.
  • Work with data scientists, domain experts, architects, and other engineers to increase the accuracy of AI outcomes in the device-management product.
  • Build CI/CD pipelines.
  • Work with subject-matter experts and data scientists to improve the accuracy of actionable insights.

Benefits

  • A comprehensive suite of benefits supporting physical, financial, and emotional wellbeing.
  • Career-development programs to help employees pursue their career goals.
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