October 19
• Develop tools to measure and monitor performance bottlenecks within web applications. • Triage reported performance issues and create reproducible test scenarios. • Collaborate with Production and Application Engineering teams to design and execute production scenarios for code and third-party performance assessment. • Develop and run PSR (Performance, Scalability, Reliability) tests, and measure relevant performance statistics. • Work with various sub-teams to ensure that SLAs for core APIs are tracked and maintained across releases. • Conduct application and architecture code profiling to identify performance issues. • Perform infrastructure and application performance tuning to optimize overall system performance. • Troubleshoot performance issues, identifying and resolving root causes. • Analyze large volumes of performance data to diagnose and solve performance problems. • Perform capacity estimation, modeling, and planning to ensure scalability and reliability.
• Bachelor’s degree in computer science or a related field; advanced degree preferred. • 5+ years of experience in performance engineering. • Expert knowledge and strong experience with performance testing tools like LoadRunner and JMeter, along with a deep understanding of APM solutions such as Grafana, AppDynamics, and Dynatrace. • Hands-on experience with microservice architecture, Docker, Kubernetes, Jenkins, GCP, and application monitoring tools. • Strong expertise in monitoring and analyzing application logs, database reports, and system metrics (e.g., CPU utilization, memory usage, network usage, garbage collection, and database parameters). • Proven ability to identify potential performance issues and provide actionable recommendations for performance improvement. • Proficiency in JVM technology with strong JVM troubleshooting skills. • Experience in debugging large-scale applications in production environments. • Expertise in JVM profiling, garbage collection (GC) analysis, and tuning. • Extensive experience with performance, load, stress, and scalability testing.
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