Database and System Performance Engineer

Vertica is a dynamic company offering opportunities limited only by your capabilities and desire to succeed. We’re looking for highly skilled and well-organized individuals to join the Vertica Performance Lab.  This person will help to develop the methodology and tools for Vertica performance and scalability characterization across supported hardware and virtualized platforms.

Key Responsibilities:

  • Develop the performance and scalability characterization methodology, key metrics, tools, and information base
  • Design and develop an analysis suite for measuring performance of system’s workloads
  • Conduct evaluations of hardware and virtualized platforms, build and maintain a searchable info base of findings
  • Determine optimum configurations of frequently used hardware platforms
  • Provide best practices and hardware selection/sizing and capacity planning
  • Work with hardware divisions, provide input/requirements for new hardware designs, conduct evaluations of new hardware

Required Qualifications:

  • Bachelor of Science in Computer Science/Computer Engineering or equivalent experience
  • In-depth knowledge in one or more of the following domains is highly desirable:
    • System resource management and performance analysis
    • Linux internals and various file systems
    • Utilities and tools used for system monitoring, profiling and diagnostics
    • Relational database experience, ability to tune database performance
    • MPP (Massively Parallel Processing) computing
    • Distributed data management
  • Experience with system programming and development in languages such as C, Python, shell scripting
  • Knowledge of standard statistical techniques used for performance characterization
  • Excellent organizational, analytical and communication (written and verbal) skills are necessary to succeed in this job
  • Experimental / research background is a plus
  • Prior IT experience with hardware sizing and capacity planning is a plus
  • Tangible knowledge of specific aspects of the big data management domain is a plus

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