YOU WILL JOIN THE PSR ORGANIZATION:
PSR (Performance Scalability and Reliability) empowers Product and Engineering teams to deliver highly performant, scalable, and resilient Splunk products through Self Serviceability to meet our customers' unprecedented data demands. We envision a state where our Splunk Release qualifications are fully automated empowering developers to run them, diagnose critical issues, enable intricate release over release metrics analysis, and PSR to be consulted for expert technical guidance. We are committed to leading the way for our customers to achieve extraordinary scale by rigorously evaluating our service limits and fleet cost efficiencies. Lastly, we drive deep introspection and optimization with Performance Optimization to identify and fix the performance bottlenecks and contentions that are most impactful to Splunk customers today.
RESPONSIBILITIES:
Define, design and implement performance / scalability / reliability (PSR) benchmarks on Splunk Enterprise and Cloud products
Heavily contribute in the design and implementation of self-service tools for Splunk developers to find performance bottlenecks by themselves
Efficiently working with various profiling tools to identify performance and concurrency bottleneck, propose and implement optimizations to improve the Splunk products
Implement and improve sizing and capacity calculators for premium Splunk applications on the cloud
Demonstrated ability in Performance Engineering and Benchmarking
Skilled in both the art and science of benchmark creation and measurement and modeling of system behavior under load
Ability to find root cause of performance bottlenecks with profiling tools: flamegraphs, pprof, pstack, qmlprofiler, perf, nmon
Get certified in Splunk Fundamentals
REQUIREMENTS:
Fluent in any of Python (C++ or Go would be a huge plus)
Passionate about finding software performance bottlenecks and optimize product code
Knows the principles of distributed computing systems. Comfortable with Linux, Docker, AWS, GIT, Artifactory in terms of both tools and systems administration
BS degree in Computer Science, similar technical field of study or equivalent practical experience
Approx. 2 years of related experience with a Bachelor’s degree;
Experience in Automation, SaaS, Microservice, Cloud Native software companies and projects
Nice to have:
Experience in solving problems of load, scale, and optimizations of sophisticated large-scale deployments
Experience with enterprise software capacity planning
Experience with data science and ML
Experience with GPU