Job description

Aruba, a Hewlett Packard Enterprise company, is a leading provider of next-generation network access solutions for the mobile enterprise. The company designs and delivers Mobility-Defined Networks that empower IT departments and #GenMobile, a new generation of tech-savvy users who rely on their mobile devices for every aspect of work and personal communication. To create a mobility experience that #GenMobile and IT can rely upon, Aruba Mobility-Defined Networks™ automate infrastructure-wide performance optimization and trigger security actions that used to require manual IT intervention. The results are dramatically improved productivity and lower operational costs. To learn more, visit Aruba at For real-time news updates follow Aruba on Twitter (@ArubaNetworks) and Facebook (, and for the latest technical discussions on mobility and Aruba products visit Airheads at t


Are you looking for a unique, truly innovative role? What if it could be with one of the most impactful IT companies in the world? Then we have the right opportunity—we are looking for a Software Engineer to join us! In this amazing role, you will be responsible for design, development, troubleshooting and debugging of data engineering products, Software Defined Storage analytics products of HPE. This is an amazing opportunity to be part of our R&D team and work in areas of storage, filesystem, hyper converged solutions and analytics. You will evaluate, design, and define coding, programming, and integration activities based on objectives and established project guidelines, collaborating with product management to understand and finalize requirements. If you have a track record in and a passion for software engineering, want to be part of a business that is growing—with great opportunities, and are ready for your next role, then please apply today.

What You'll Do

  • Work with experienced data scientists and domain experts to apply machine learning algorithms to wireless and wired network data
  • Take ownership of existing AI Insight modules in Aruba Central and evolve them according to customer needs
  • Validate telemetry data from customer networks and find relevant structure that reveals insights
  • Scale machine learning code to run reliably in worldwide production environments
  • Monitor deployed machine learning modules

Our Minimum Requirements for this role are

  • Bachelor's degree in Computer Science, or another data-oriented discipline
  • Four to Ten years industry experience as data scientist
  • Expert python coder
  • Fluent user of Apache Spark
  • Working knowledge of data structures (array, maps, trees, stacks, queues) and algorithms (recursion, dynamic programming, backtracking)
  • Working knowledge of machine learning algorithms (linear regression, decision trees, random forests, clustering, anomaly detection)
  • Descriptive statistics (central tendency, variability, distribution)
  • Clear technical communication
  • Ability and willingness to learn quickly

Additional preferred skills

  • Familiar with NoSQL databases, preferably Cassandra
  • Familiar with Kubernetes, Docker, Git, Maven
  • Statistical inference (hypothesis testing, estimation with confidence intervals, Bayesian inference)

What we can offer you:

Extensive benefits, a competitive salary and participation in the shared values and purpose that make Hewlett Packard Enterprise one of the world´s most attractive employers! At HPE, our goal is to provide equal opportunities, flexible work-life balance, and constantly evolving career growth.

If you are looking for challenges in an exciting, supportive and international work environment, then we definitely want to hear from you. Continue the conversation by clicking apply now below, or directly via our Careers Portal at

Join us and make your mark!

Find out more about us and follow us on:

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT and Affirmative Action employer. We are committed to diversity and building a team that represents a variety of backgrounds, perspectives, and skills. We do not discriminate and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global diverse team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together.



This role has been designated as ‘Edge’, which means you will primarily work outside of an HPE office

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