What you’ll do

• Work with the software triads (engineering, product management, design) to create performance requirements
• Use production metrics, and a model-driven approach to analyzing the system under test
• Use statistical expertise to create a usage profile for the projects under development
• Build the simulation suite into the CI/CD pipeline which will also help improve monitoring and analysis in test environments, and improve solutions for production
• Evaluate the test outcomes to create hypotheses for optimization
• Work with the engineering teams to evaluate algorithms for complexity, and data access layers for optimization patterns
• Create data generation plans that correlate with the usage profile definition
• Partner with SRE to improve the cloud architecture by understanding the requirements, long-term scalability plans, and best practices for scalability and performance in modern cloud architectures.
• Collaborate with SRE and the full-stack team to reduce potential scalability issues in production with monitors and alerts

Your background

• Networking protocols and performance at every tier from client through back end servers
• Previous experience in performance modeling and hypothesis generation
• Software development in .Net and SQL
• Understanding of Linux and Windows systems
• 5+ years of hands-on experience with cloud infrastructure AWS, Azure
• Experience monitoring distributed systems application architecture with tools like Splunk/SignalFX
• Skills across different levels of the stack: Network, .Net/Java, Operating System, SQL
• Exposure to and maintenance of performance testing tools