Are you passionate about learning new technologies and understanding how they work? Are you interested in an opportunity to work with an upbeat team to help drive its products to a new level? We are looking for a seasoned, creative Performance Engineer to help us focus on the scalability and performance of our products and build meaningful benchmarks that address customer experience.

At Splunk, each release of our software is highly scrutinized to meet the demands of our customers. As a Performance Engineer, you’ll have a direct impact on our products’ success. You will collaborate with peers, field teams, and customers to understand and encapsulate the user scenarios into industry standard benchmarks. You will work with product management and interface directly with our customers to get direct exposure to the usage patterns we strive to satisfy. You will also drive projects to integrate benchmarking into our continuous integration and test automation frameworks.

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

Splunk is an Equal Opportunity Employer: Splunk, a Cisco company, is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.

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