QA Automation Engineer

Hewlett Packard Enterprise Company   •  

San Jose, CA

Industry: Technology

  •  

5 - 7 years

Posted 30 days ago

HPE makes Hybrid IT simple. HPE helps customers to design the right mix of Hybrid IT to serve their unique needs. We bring next generation infrastructure that uses intelligent software to simplify and accelerate the delivery of new apps, services and business insights. Providing with new ways to deliver and manage IT on-premises and in the cloud.

We are currently looking for a QA Automation Engineer to join our growing Infosight Data team within HPE to take on data-as-a-service challenges.

HPE InfoSight collects hundreds of terabytes of operational and diagnostic telemetry from our customers, which enables us to help them get the most out of their IT infrastructure. As part of the Infosight team, you will work on cutting-edge projects, with high visibility.

If you have the relevant experience, have a passion for quality and good software engineering practices, and enjoy working in a fast-paced, highly rewarding environment, then HPE is the place for you.

In this role you will:

  • Provide support for maintenance releases: including QA for the release tasks, and deployment
  • Build, support or enhance QA automation frameworks. Support tasks include triaging regression results and addition of new test cases for automation
  • Develop and execute test plans, project strategies, test cases execution and automation, and file bug reports


Minimum Qualifications:

  • BS Degree in CS and minimum 5 years of experience

  • Strong databaseinternals or distributed systems testing experience

  • Ability to write complex SQL queries

  • Strong drive towards automation and SQL automation knowledge

  • Hands on experience with automation frameworks

  • Working knowledge of Python, Scala

Desirable skills

  • Experience with executing SQL and ETL
  • Experience with load, performance, integration, reliability systems or stress testing
  • Experience testing Big Data related technologies (Hadoop, Spark, Cassandra, HBase, MongoDB, etc)
  • Experience with Agile methodologies

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