Cloud Full Stack Engineer

Cloud Full Stack Engineer

This role has been designed as 'Hybrid' with an expectation that you will work on average 2 days per week from an HPE office.

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work.

We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world.

Our culture thrives on finding new and better ways to accelerate what's next.

We know varied backgrounds are valued and succeed here.

We have the flexibility to manage our work and personal needs.

We make bold moves, together, and are a force for good.

If you are looking to stretch and grow your career our culture will embrace you.

Open up opportunities with HPE.

Job Description:

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, improving network performance and the quality of users experience.

With a strong Data Science charter, we are at the forefront of transforming raw data into actionable insights.

We build scalable, reliable applications using technologies such as Apache Spark, Kubernetes, Kafka, ArangoDB, Clickhouse and more.

We are seeking a Full Stack Engineer with expertise in Data Engineering, Data Science, and Generative AI (GenAI).

In this multifaceted role, you will bridge the gap between data engineering and advanced AI-driven applications, playing a pivotal role in building scalable, multi-tenant, and highly available platforms.

You will work with cutting-edge AI/ML technologies, including LLMs, Agentic AI, and autonomous AI agents, enabling intelligent automation and deep data insights.

Job Description

Responsibilities :


* 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

Education and Experience Required


* 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 in experience Python


* At least 1 year of programming experience in Java


* Expertise in big data technolog...