Role:
At Splunk, each and every release of our software is highly scrutinized to meet the demands of our customers. As a Principal Software Performance Engineer, you’ll play a very important 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.
Responsibilities:
Design and implement solutions to evaluate and improve performance and scalability of SaaS / Cloud Native / Bigdata Platform and application on AWS GCP and Azure platform
Architect solutions for microservices to do self service performance and scalability evaluation
Root cause performance and scalability issues and contribute to product code to alleviate these issues
Optimize sizing of deployed component instances for cost optimization
You will develop performance and scale test plans based on deep understanding of domain, architecture and product tech stack
Responsible for designing and implementing relevant simulators to ingest large scale data
Design, implement and maintain test frameworks
Support extended teams in troubleshooting problems, such as system malfunctions
Provide feedback, propose solutions and suggest improvements in the product
You will partner with other performance engineers and developers to develop best practices, author blogs and white papers, and present internally, at conferences, and directly to partners and customers
Requirement:
12 +years of proven experience in software engineering, focusing on performance, scale
7 +years of experience with systems engineering and software development
5 + years of experience leading and mentoring scale/performance engineers
Deep understanding and hands on works of AWS and Azure cloud architecture
Strong analytical and programming skills (Python and/or Java preferred)
Strong understanding of OS fundamentals (Mac/ Linux/ Windows)
Proven expertise in solving OS level performance issues
Understanding of cloud-scale and micro/macro-services architecture
Excellent communication with ability to lead discussions
Excellent solving skills and great attention to detail
Experience supporting an enterprise-level SaaS environment
Excellent Kubernetes diagnostic experience a plus
Experience with AWS, open-source tools such as Kafka, Terraform, Spinnaker, InfluxDB, and Elasticsearch is a plus
Good understanding of virtualization is a plus
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, pstack, qmlprofiler
Passionate about optimizing the performance bottlenecks and improving the product
Experience in solving problems of load, scale, and optimizations of sophisticated large-scale deployments
Expert in scripting languages (Python) and compiled languages (C/C++)
Expert in distributed computing system and stack
Comfortable with Linux, Docker, AWS, GIT, Artifactory in terms of both tools and systems administration
Extended Qualifications
Experience with enterprise software capacity planning a big plus
Education
Bachelors degree or higher in Computer Science, or equivalent experience
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.
Splunk is an Equal Opportunity Employer
At Splunk, we believe creating a culture of belonging isnt just the right thing to do; its also the smart thing. We prioritize diversity, equity, inclusion, and belonging to ensure our employees are supported to bring their best, most authentic selves to work where they can thrive. Qualified applicants receive consideration for employment without regard 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, genetic information, veteran status, or any other consideration made unlawful by federal, state, or local laws. We consider qualified applicants with criminal histories, consistent with legal requirements.
Note:
Base Pay Range
SF Bay Area, Seattle Metro, and New York City Metro Area
Base Pay Range: $203,200.00 – 279,400.00 per year
California (excludes SF Bay Area), Washington (excludes Seattle Metro), Washington DC Metro, and Massachusetts
Base Pay Range: $182,880.00 – 251,460.00 per year
All other cities and states excluding California, Washington, Massachusetts, New York City Metro Area and Washington DC Metro Area.
Base Pay Range: $162,560.00 – 223,520.00 per year
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 above, 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 competitive benefits package which includes medical, dental, vision, a 401(k) plan and match, paid time off and much more! Learn more about our comprehensive benefits and wellbeing offering at .
Git benchmarking macOS artifactory Python Terraform Amazon Web Services (AWS) virtualization Apache Kafka Azure Linux SaaS C++ Elasticsearch Google Cloud Platform (GCP) influxdb Docker Kubernetes Windows Java microservices spinnaker operating-systems