Full Stack Performance Analyst

Job Description

Introduction As a Full Stack Performance Analyst you will measure and analyse the performance across different layers of the Power System stack starting from the Power Processor, Power Hypervisor and Operating System (AIX & Linux). You will identify performance bottleneck and suggest design changes/tuneable/optimizations to improve performance and design of the next generation Power Processor and systems. Performance analysis of SW stack and optimizations. You will collaborate with teams across the stack including Chip design, Firmware, Hypervisor and Operating System to drive design tuning & optimization to improve performance. Your role and responsibilities As a Full Stack Performance Analyst your responsibilities would be 1. Study workloads characteristics on IBM Power and x86 2. Executing & measuring performance of various PowerVM (Hypervisor) functions & features 3. Using various performance tools to analyze performance & identify bottlenecks / opportunities for improving PowerVM (Hypervisor) stack/functions performance 4. Provide tuning & performance optimizations suggestion to improve performance 5. Working on client performance issues Required education Bachelors Degree Preferred education Masters Degree Required technical and professional expertise 5-10 years of overall IT experience. 3+ years of experience as a System Performance Analyst 5+ Experience with OS internals, hands on debugging Experience doing Performance Analysis, Performance Tuning & Performance Optimization Good Knowledge & Experience in using Performance Monitoring Tools like vmstat, netstat, iostat, nmon, topas etc Good Knowledge & Experience in C/C++ programming Good understanding of Hypervisor & Virtualization concepts Good understanding of Virtual IO concepts Good understanding of System Architecutre Good understanding of Operating System concepts Good communication & presentation skills. Preferred technical and professional experience Demonstrated application of machine-learning or AI technologies to data analysis Agile/ Scrum methodology experience