Job Description:

• 5+ years of hands-on experience in performance testing and engineering.
• Develop, maintain, and execute automated performance test scripts using tools such as JMeter, LoadRunner, NeoLoad, Gatling, or similar.
• Conduct capacity planning and workload modeling to simulate real-world user traffic.
• Strong understanding of system architecture, networking concepts, and database performance tuning.
• Analyze performance test results and provide detailed reports with bottleneck identification and tuning recommendations.
• Analyze performance test results, identify bottlenecks, and provide actionable recommendations to improve system performance.
• Monitor and analyze system performance metrics using monitoring tools like Dynatrace, AppDynamics, New Relic, AppDynamics, Grafana, Prometheus, Splunk, etc.
• Familiarity with cloud environments (AWS, Azure, or GCP) and containerized applications (Docker, Kubernetes).
• Solid understanding of HTTP, WebSockets, RESTful APIs, Microservices Architecture.
• Strong understanding and experience in analyzing logs. 
• Hands-on experience on using Linux Severs and Database.
• Knowledge of Agile/Scrum methodologies and working in DevOps environments.
• Experience with CI/CD pipelines and performance testing integration in tools like Jenkins, GitLab, or Bamboo.
• Proficiency in programming/scripting languages like Java, Python, Groovy, JavaScript, etc.