Cloud Benchmarking Engineer

Location: Rosh HaAyin, Israel
Position: Full-Time

ScaleMP is a pioneer and world leader in the deep-technological fields of software-based scale-up computing solutions. We are the force behind the worlds larger computers, running anything from enterprise in-memory databases to astrophysical simulations and genomic research. We are an OEM-focused company with marquee-name customers such as Dell, Lenovo, Intel, WDC, and many others – and the end users of our products range from government to top universities and from Global 2000 to SMBs.
With new OEM agreements signed in 2017 and several more underway, and new technologies targeting cloud workloads, ScaleMP is rapidly growing and is also expanding its reach within new markets (both Private and Public Clouds) to leverage our large memory solutions. We’re looking for a new member for our performance engineering team – to deliver the performance data for major cloud software stacks.

Key Responsibilities:

  • Plan, design, build, and execute performance benchmarks based on a variety of Cloud and Big-Data technologies, including:
    • Containers (e.g. Docker)
    • VMs (e.g. KVM)
    • In-memory data-grids (e.g. Apache Spark)
    • In-memory key-value stores (e.g. Redis)
    • NoSQL/distributed databases (e.g. MongoDB)
    • and many others…
  • Prepare internal reports as well as externally-targeted content (benchmark reports, blogs, etc.)
  • Use profiling and statistics tools, as well as software configurations, to maximize benchmark results
  • Automate all benchmarks and deliverables for easier retest with new versions, new environments, etc.
  • Adjust underlying hardware to best fit the planned benchmarks
  • Support key customers with performance issues (as 3rd tier performance support to OEMs)

Job Requirements:

  • Bachelor’s degree or equivalent IDF service training in Computer Science or Computer Engineering
  • At least 2 years of experience with relevant cloud software stacks and workloads
  • Experience to include:
    • Deploying and developing in cloud software stacks
    • Coding in at least two scripting languages at least one for web/cloud and one for system tasks
    • Working with performance analysis and system-level profiling tools
  • Excellent oral and written English
  • Organized, data-oriented, self-starter

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