Performance Tester

Position: Performance Tester Experience: 6+ Years Location: Remote Employment Type: Full-time About the Role We are seeking an experienced Performance Tester to ensure scalability, stability, and responsiveness across our distributed applications and eCommerce systems. The ideal candidate will have a strong background in performance testing, profiling, and optimization, along with hands-on experience using leading performance testing and monitoring tools. Key Responsibilities - Design, develop, and execute performance, load, stress, and endurance tests for enterprise-scale applications. - Conduct end-to-end performance testing of eCommerce platforms including APIs, microservices, and front-end layers. - Identify performance bottlenecks and provide actionable recommendations to development and infrastructure teams. - Utilize APM tools (e.g., New Relic, Dynatrace, Grafana, Prometheus) to monitor application health and analyze system behavior. - Perform profiling and diagnostics of backend systems (JVM, Node.js, Go) to identify issues like GC pauses, thread contention, or CPU bottlenecks. - Develop and maintain performance test scripts and frameworks using JMeter, Gatling, k6, LoadRunner, BlazeMeter, or OctoPerf. - Collaborate with DevOps and Engineering teams to integrate performance tests into CI/CD pipelines using Jenkins, GitHub Actions, or GitLab CI. - Prepare detailed performance reports, test summaries, and trend analyses for stakeholders. Required Skills & Experience - 6+ years of hands-on experience in software performance testing and system profiling. - Proven experience with eCommerce application performance testing (web, API, and backend layers). - Strong expertise in one or more performance testing tools: - JMeter, Gatling, k6, LoadRunner, BlazeMeter, or OctoPerf. - Experience with APM and monitoring tools such as New Relic, Dynatrace, Grafana, Prometheus, AppDynamics, etc. - Deep understanding of application profiling for JVM, Node.js, or Go-based systems. - Proficiency in analyzing system-level metrics: CPU, memory, I/O, GC, thread dumps, and network performance. - Solid grasp of CI/CD pipelines and tools (Jenkins, GitHub Actions, GitLab CI). - Experience working in Agile/Scrum development environments. Good-to-Have Skills - Familiarity with Kubernetes, Docker, and cloud platforms (AWS/Azure/GCP). - Knowledge of APIs, microservices, and distributed architecture performance patterns. - Experience in scripting (Python, Bash, Groovy, or JavaScript) for automation and data generation. - Exposure to chaos testing or resiliency engineering tools (Gremlin, LitmusChaos).