- 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
- 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
- Experience with enterprise software capacity planning a big plus
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Principal Software Performance Engineer - Delaware, United States - Splunk Inc
Description
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:
Requirement:
Extended Qualifications
Education
Bachelor's degree or higher in Computer Science, or equivalent experience
