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Performance Engineer

Datera is the only 100% software-based data services platform that powers high-performance application environments @ global scale with game-changing data orchestration and automation. Partnering with leaders in server technology, Datera enables the software-defined data center of the future; all at a 70% lower total cost of ownership and operation.

Job description

You are an exceptional engineer on a mission to make a serious impact in your next job.  You have the taste to recognize interesting problems, the talent to create elegant solutions, and the drive to deliver disruptive products. As a Performance Engineer you will continuously design creative ways to measure, identify and improve, the performance of Datera’s Enterprise storage solutions.


  • Define, develop and perform performance/scalability benchmarks on Datera Enterprise cloud solutions.
  • Efficiently work with various profiling tools to identify performance bottlenecks.
  • Design, code, and implement automated tests for high throughput, low latency, storage products in block, file, and object formats.
  • Verify build to build performance quality to speed analysis of performance impact.
  • Participate in architecture and design reviews of complex solutions in cross-team engineering efforts and own quality perspectives for the design.
  • Work with on platform and cloud analytics team to create predictive analytics for performance related customer

Required Qualifications:

  • B.S. Degree or higher in Computer Science or related technical discipline, or equivalent practical experience.
  • Software development experience.

Preferred Qualifications:

  • 6+ years work experience, including development and/or test automation experience.
  • Coding experience in at least one main stream coding language (Preferred: Python).
  • Skilled in benchmark creation and measurement and modeling of system behavior under load.
  • Experience with debugging performance bottlenecks with common Linux tools i.e. perf top, iostat, strace, etc.
  • Hands on experience testing enterprise class storage systems.
  • Strong experience in bottleneck analysis, profiling, and tracing.
  • Deep understanding of distributed systems.
  • Hands on experience with troubleshooting linux/unix systems.
  • Bachelors or Master’s or PhD in Computer Science or related technical field.
  • Hands on experience with full stack testing of enterprise grade storage products.
  • Working knowledge of industry standard technologies, raid, encryption, compression, deduplication, replication, snapshots, clones, nfs, and iscsi.

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