Principal Performance Engineer

Key Skills

Python Programming, SQL, Git, AWS, Cloud computing, Docker, Linux Operating system, SaaS

Job Description

Principal Performance Engineer

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 and every release of our software is highly scrutinized to meet the demands of our customers. As a Principal 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 interact 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.

What You'll Be Doing:

• Define, develop and perform performance/scalability benchmarks on Splunk Enterprise and Cloud products
• Efficiently working with various profiling tools to identify performance and concurrency bottleneck, propose and implement optimizations to improve the Splunk product
• Implement and improve sizing and capacity calculators for key Splunk application on the cloud

Who You Are & What Makes You Qualified:

• 12+ years of experience 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, strace, tcpdump, netstat, ext4slower, opensnoop
• Passionate about finding performance bottlenecks and optimize code
• Experienced in solving problems of load, scale, and optimizations of sophisticated large-scale deployments
• Demonstrated ability in SaaS, Microservice, Cloud Native software companies and projects
• Expert in scripting languages such as Shell, Python and compiled languages (C/C++)
• Proficient in Linux, Docker, AWS, GIT, Artifactory in terms of both tools and systems administration
• Experience in leading and growing a team of junior engineers
• Ability to coordinate activities such as sprint planning, design reviews, code review, and providing updates to engineering manager

Extended Qualifications

• Experience with enterprise software capacity planning a huge plus
• Experience with data science and ML a plus
• Experience with GPU a plus