Cloud Performance Engineer in Test

3 weeks ago


San Jose, California, United States Splunk Full time

Splunk is a leading company that aims to create a safer and more resilient digital world through its end-to-end full stack platform. Our unified security and observability platform helps enterprises keep their digital systems secure and reliable. We are looking for a talented individual to join our team as a Cloud Performance Engineer in Test.

We strive to deliver innovative products that exceed our customers' expectations. As a member of our Performance, Scalability & Resiliency (PSR) team, you will have a critical impact on the success of our products. You will collaborate with peers, field teams, and customers to understand and encapsulate use-cases into industry-standard benchmarks. You will work with product management and interface directly with our customers to get direct exposure to usage patterns we strive to satisfy. You will also drive projects to integrate benchmarking into our continuous integration and test automation frameworks.



Responsibilities
  • Define, design, and implement performance/scalability benchmarks on Cisco-Splunk observability portfolio.
  • Identify opportunities for engineering productivity improvements or directions and evangelize these successfully.
  • Understand system-wide functionality and come up with test plans and automated tests.
  • Collaborate with developers, PMs, and infra/operations engineers to deliver high-quality products.
  • Finding and troubleshooting bugs during testing or automation failures.
  • Aiding development with vital setup and reproduction of scale-related issues seen in production to promote collaboration and efficiency.
  • Helping team estimate software deliverables often across multiple sprint timelines.
  • Using standard load generation tools like JMeter, Gatling, Locust, Apache's ab etc. Developing custom tools and applications to generate large volumes of custom data to test backend services or agents.
  • Working efficiently with various profiling tools to identify performance and concurrency bottlenecks, propose, and implement optimizations to improve the Cisco-Splunk observability portfolio.
  • Finding root cause of performance bottlenecks with profiling tools: flamegraphs, pprof, pstack, qmlprofiler, perf.
  • Developing and running Automated Test pipelines needed to certify software that handles large volumes of data.
  • Being willing to learn, adapt, and adopt modern technologies as needed including software-development and test frameworks.


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