Your Impact:

• This is an electrifying technical position in performance engineering landscape and we are looking for groundbreaking individuals who can bring their performance experiences to bear on the problems that are yet to both discover and pursue
• Formulate solutions via creative tooling, AI, ML models and analysis which could lie in the infrastructure, frontend, services, database, integration, device, CDN or massive code base catering across multiple regions
• Combine your technical expertise and problem-solving passion to work closely with clients that would help us to make customer’s experience as thrilling as dream come true.

Qualifications

Your Skills & Experience:

• 4+ years of experience in end to end performance testing and engineering frameworks of complex enterprise applications
• Expert in designing advanced test scripts (modular scripting, JavaScript, Scala, Python, etc.) and utilizing industry-leading load testing tools such as Gatling, JMeter, K6, Neoload, BlazeMeter, SOASTA, and LoadRunner.
• Proficient in designing test scripts for applications utilizing monolithic and microservices architecture, employing industry-standard protocols including HTTP/HTML, API and webservices
• Hands-on experience in frontend and client-side performance testing, leveraging tools like Lighthouse, WebPageTest, and Sitespeed to drive significant performance improvements.
• Experience in setting up and configuring distributed load testing framework on cloud platforms
• Design and deliver workload model using Little s Law.
• Strong understanding of Non-Functional Requirements (NFRs) and experience in preparing test closure reports.
• Experience in application monitoring and reporting using tools such as AppDynamics, DynaTrace, New Relic, CloudWatch, AppInsights, Stackdriver, Datadog etc.
• In-depth knowledge of thread lifecycles, thread/heap dumps, and application logging.
• Foundational understanding of mobile native app performance testing on real devices with tools such as BrowserStack, PCloudy, and Perfecto
• Good grasp of integrating load testing tools into CI/CD pipelines and establishing frameworks within platforms like Jenkins, GitLab, Azure DevOps etc.
• Familiar with containerization solutions such as Docker and Kubernetes, proficiency in Linux commands, and experience with microservices and version control systems like Bitbucket.
• Skilled in working with at least one of the 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