- Utilize industry-leading load testing tools like Gatling, JMeter, K6, Neoload, BlazeMeter, SOASTA, and LoadRunner to ensure application performance.

- Develop test scripts for applications with monolithic and microservices architecture, employing industry-standard protocols including HTTP/HTML, API, and webservices.

- Perform frontend and client-side performance testing using tools like Lighthouse, WebPageTest, and Sitespeed.

- Set up and configure distributed load testing framework on cloud platforms.

- Design and deliver workload models using Little's Law.

- Prepare test closure reports and understand Non-Functional Requirements (NFRs).

- Monitor and report application performance using tools like AppDynamics, DynaTrace, New

Relic, CloudWatch, AppInsights, Stackdriver, and Datadog.

- Have in-depth knowledge of thread lifecycles, thread/heap dumps, and application logging.

- Understand mobile native app performance testing on real devices with tools like

BrowserStack, PCloudy, and Perfecto.

- Integrate load testing tools into CI/CD pipelines and establish frameworks within platforms like Jenkins, GitLab, Azure DevOps.

- Familiar with containerization solutions like Docker and Kubernetes, proficiency in Linux

commands, and experience with microservices and version control systems like Bitbucket.

- Skilled in working with leading cloud providers GCP/AWS/Azure.

- Hands-on experience with GenAI tools, large language models (LLM), machine learning, and prompt engineering to enhance automation and data-driven approach