HPE Technical Services Software Engineer

Technical Services Software Engineer – Pleasanton, CA

Overview: We are looking for a highly skilled, motivated software engineer to work on our Big Data Technical Services team providing custom technical solutions to our customers on our cloud based archiving platform.


  • Determine operational feasibility of customer requests by conducting analysis, problem definition, requirements, solution development, and proposed solutions.
  • Develops cloud-based solutions using Java, JavaScript, XML, and custom cloud-based software languages.
  • Understands security and identifies encryption and controls needed to protect information.
  • Coordinates testing efforts to identify and resolve system integration issues.
  • Troubleshoot and debug application and infrastructure problems found in the production and non-production environments.
  • Create scripts and utilities to help automate operational processes, and fulfill custom customer requirements.
  • Work with other team members in Operations, QA, and Systems Engineering to plan the deployment of software releases into production.
  • Apply advanced troubleshooting techniques to provide unique solutions to our customers’ individual needs
  • Author internal documentation, such as environment diagrams, installation/configuration documents and release notes.
  • Creating custom reports for customers.

Skills and Experience Required:

  • Experience in application development (5 years); Java.
  • Knowledge of scalable distributed systems and service oriented architecture a plus
  • Strong written and oral communication skills.
  • Strong experience in scripting language (2 years); Perl (preferred), Python.
  • Experienced working in Linux environment (centos/redhat).
  • Exposure to Virtualization (VMware, Xen or KVM Hypervisor)
  • Experience in SQL / relational databases; Oracle, SQL Server or PostgreSQL
  • Ability to work independently and as a member of a close team in fast-paced deadline intensive environment
  • Experience with data mining, machine learning, big data or artificial intelligence a strong plus


  • Computer Science degree (GPA > 3.0 preferred)

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