Senior Performance Engineer

Key Skills

AWS, C++, CUDA/GPU programming, Data science techniques, Docker, Linux Operating system, Python Programming, SaaS

Job Description

Join us as we pursue our disruptive new vision to make machine data accessible, usable and valuable to everyone. We are a company filled with people who are passionate about our product and seek to deliver the best experience for our customers. At Splunk, we’re committed to our work, customers, having fun and most importantly to each other’s success. Learn more about Splunk careers and how you can become a part of our journey!

Role:

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.

Responsibilities:

• Define, design and implement performance / scalability / reliability (PSR) benchmarks on Splunk Enterprise and Cloud products
• 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 bottlenecks, propose and implement optimizations to improve the Splunk products with the help of a mentor
• Implement and improve sizing and capacity calculators for premium Splunk applications on the cloud
• Demonstrated ability in Performance Engineering and Benchmarking
• With time, grow to expertly use various profiling tools such as flamegraphs, pprof, pstack, qmlprofiler, perf, nmon to find performance bootleneck
• Get certified in Splunk Fundamentals

Requirements:

• Passionate about finding software performance bottlenecks and optimize product code
• Fluent in any of Python, (C++ or Go would be a huge plus)
• Knows principles in 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
• Bachelor’s degree and a minimum of 2 years of related experience; or an advanced degree without
• mentoring/leading teams

Nice to have:

• Experience in solving problems of load, scale, and optimizations of sophisticated large-scale deployments
• Experience with enterprise software capacity planning
• Experience in SaaS, Microservice, Cloud Native software companies and projects
• Experience with data science and ML
• Experience with GPU

We value diversity at our company. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which the candidate is applying.

Note: Splunk provides flexibility and choice in the working arrangement for most roles, including remote and/or in-office roles. We have a market-based pay structure which varies by location. Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location as set out below, as well as the knowledge, skills and experience of the candidate. In addition to base pay, this role is eligible for incentive compensation and may be eligible for equity or long-term cash awards.

Benefits are an important part of Splunk's Total Rewards package. This role is eligible for a comprehensive, competitive benefits package which may include healthcare and retirement plans, paid time off, wellbeing expense reimbursement, and much more! Learn more about our comprehensive benefits and wellbeing offering at https://splunkbenefits.com.