Performance Software Engineer
Computer Science Fresh Grads, Welcome!
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!
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 create meaningful benchmarks that address customer use cases.
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 key role in our products' success. You will collaborate with peers, field teams, customers to understand and encapsulate the use cases 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.
What You'll Be Doing as Entry Level Performance Engineer:
- Define, code 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
- Coding and improve sizing and capacity calculators for key splunk application on the cloud
Who You Are & What Makes You Qualified:
- Interest in Performance Engineering and Benchmarking
- Motivate to learn and master both the art and science of benchmark creation and measurement and modeling of system behavior under load
- Curious to find root cause of performance bottlenecks with profiling tools, pstack, qmlprofiler
- Passionate to optimize the performance bottlenecks and improve the product
- Ready to be trained in tackling problems of load, scale, and optimizations of complex large-scale deployments
- Passionate about distributed computing system and stack
- Comfortable with Linux.
- Be able to code in one of these languages: C++, Java, Python
- Knowledge in Hadoop, Spark, Kafka, Docker, AWS, GIT, Artifactory is a big PLUS!
- Experience with enterprise software capacity planning is a big PLUS
Bachelor’s degree or higher in Computer Science, or equivalent
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.
For job positions in San Francisco, CA, and other locations where required, we will consider for employment qualified applicants with arrest and conviction records.
Thank you for your interest in Splunk!
Splunk's Hiring Practices
Splunk turns machine data into answers. Organizations use market-leading Splunk solutions with machine learning to solve their toughest IT, Internet of Things and security challenges.
Individuals seeking employment at Splunk are considered without regards to race, religion, color, national origin, ancestry, sex, gender, gender identity, gender expression, sexual orientation, marital status, age, physical or mental disability or medical condition (except where physical fitness is a valid occupational qualification), genetic information, veteran status, or any other consideration made unlawful by federal, state or local laws. Click here to review the US Department of Labor’s EEO is The Law notice. Please click here to review Splunk’s Affirmative Action Policy Statement.
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