Work from Office
Full Time
Responsibilities Design benchmark scenarios, implement and tune the workloads, conduct the workload measurements along with analyzing the performance data to guide Software development teams on performance improvements. This role is collaborative within a global team of IBM. Design benchmark and workload scenarios, keep them current. Implement benchmark and workload scenarios including setting up and configuring the various business automation software:Workflow, Decisions, Robotic Process Automation, Business Automation Management Open Edition. Automate and conduct performance measurements and data collection for benchmark and workload scenarios. Analyze the collected performance data to identify performance issues and bottlenecks. Develop and prototype proof of concept solutions to improve performance and drive innovations Level 3 customer engagement with performance troubleshoot and analysis. In a global team, work together with developers on improving the systems performance across the stack (Automation software, OpenShift, Databases). Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 5+ years of active and recent Performance and scalability engineering and/or Data Engineering experience with system performance optimization and tooling for performance metrics from servers and software modules as well as pipeline design and development. Experience with Unix/Linux/Kubernetes commands related to system performance Experience with dockers and Kubernetes. Experience with performance script development including but not limited to JMeter, Loadrunner or Locust 3 + years in the following:Java/Scala, Golang and Python, General GC technologies, Kernel, LinuxOS stack, SQL, REST API. Knowledge and interest in AI and machine learning. English Fluent (verbal and written). Bachelor’s degree in computer science or equivalent. Preferred technical and professional experience Master’s degree in computer science or equivalent. Experience with Openshift Console and monitoring. Experience with performance assessment/monitoring tooling and technologies like NewRelic, Instana, Prometheus, Grafana. PromQL knowledge is a plus. Cloud, virtualization technologies knowledge. Experience with Microservices, Cloud DevOps
IBM
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