Cloud Full Stack Engineer

Cloud Full Stack Engineer

This role has been designed as 'Hybrid' with an expectation that you will work on average 2-3 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 diverse 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:

Description

As a full-stack development engineer, you will play a critical role in ensuring reliability, performance and security of the applications.

You will work closely with Data Scientists, Data Engineers to design, build and maintain data pipelines, platforms and services and implement Generative AI based applications.

The ideal candidate will have the ability to contribute in multiple aspects of product development such as programming, data analysis, CI/CD Infrastructure and Security hardening.

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


* Degree in Computer Science, Information Systems, or equivalent


* Master's with 2 years of full-stack development experience

Knowledge and Skills


* Programming in at least one of Python, Java or Scala


* Expertise in big data technologies such as Spark or Kafka


* Experience with containerization and orchestration tools such as Kubernetes and Airflow


* Experience in one or more deployment tools such as Spinnaker or ArgoCD


* Experience working in cloud computing environments such as AWS

Additional Desirable Skills


* Experience with managing and analyzing large data sets


* Familiarity with wireless and wired networking

Additional Skills:

Cloud Architectures, Cross Domain Knowledge, Design Thinking, Development Fundamentals, DevOps, Distributed Computing, Microservices Fluency, Full Stack Development, Release Management, Security-First Mindset, User Experience (UX)

What We Can Offer You:

Health & ...