7+ years of experience with JMeter to perform end-to-end Performance Testing of software applications

Strong experience in developing JMeter scripts for testing Web based applications built using Angular, React with backend Java, Python & .NET 

Strong hands-on skills in Java and/or Python programming languages

Fair understanding of AI, especially Prompt Engineering using LLM or APIs including a good working knowledge of integrating AI features with day-to-day automation tasks

DevOps experience especially integrating load test tools with pipeline (using CI/CD tools such as Tekton or CloudBuild or GITHUB ACTIONS) and containerization of testing tools using platforms like dockers, Kubernates 

Expertise in production log analysis for workload modelling include ability to analyze client and server-side metrics to validate performance of applications. 

Deep understanding of Dynatrace or New Relic or AppDynamics e.t.c to identify performance bottlenecks and provide performance engineering recommendations

Ability to contribute to performance engineering of applications like SW/HW Sizing, Network, Server & code optimization 

NA

Exposure to GCP or similar Cloud Platform (Azure or Amazon) & ability to interpret metrics using Cloud monitoring tools (OpenShift CaaS, CloudRun metrics dashboards e.t.c)

Strong problem solving and analytical skills, Ability to work independently and Self-Motivated

Excellent written and verbal communication skills, in English.