Cloud Full Stack Engineer, Hewlett Packard Enterprise

Hewlett Packard Enterprise

Location:
United States, San Jose

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

117500.00 - 270000.00 USD / Year

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Job Description:

The AIOps team in Santa Clara works on an exciting initiative to develop AI-powered actionable insights and alerts for managing and optimizing HPE Aruba's Enterprise Wi-Fi and Switching systems. The role focuses on building scalable, multi-tenant, and highly available platforms while working on cutting-edge AI/ML technologies to enable intelligent automation and deep data insights.

Job Responsibility:

application design and development 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 that show network problem conditions and patterns
work with a team of data scientists, domain experts, architects and other engineers to increase the accuracy of AI outcomes in our device management product
build CI/CD pipelines
work with SMEs and data scientists to increase accuracy of actionable insights

Requirements:

Master's Degree in Computer Science, Information Systems, or equivalent
at least 4 years of total software development experience in Networking and Cloud technologies
Bachelor's degree with at least 6 years of total experience may be considered if candidate demonstrates exceptional abilities
at least 2 years of programming experience in Python
at least 1 year of programming experience in Java
expertise in big data technologies such as Apache Spark or Kafka with at least 1 year of experience
experience with containerization and orchestration tools such as Kubernetes and Airflow with at least 1 year of experience
experience developing applications in Cloud computing environments such as AWS with at least 2 years of experience

Nice to have:

experience with developing Generative-AI and Agentic AI based applications
experience with managing and analyzing large data sets
good understanding of WiFi Wireless Networking, Switching and Routing concepts
working knowledge of programming in Scala

What we offer:

health & wellbeing benefits
personal & professional development programs
unconditional inclusion in the workplace
flexibility to manage work and personal needs

Additional Information:

Job Posted:
April 29, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Cloud Full Stack Engineer