Performance Tester

• Proven experience in performance engineering or QA automation, with a strong focus on performance, load, and stress testing for RESTful and GraphQL APIs.
• Hands-on expertise using performance testing tools, especially JMeter (LoadRunner is a plus).
• Strong understanding of performance testing concepts including throughput, latency, error rates, SLAs, baselines, and capacity metrics.
• Experience integrating performance tests into CI/CD pipelines, preferably using Git-based workflows.
• Proficiency in analyzing test results using monitoring and observability tools such as Grafana, CloudWatch, or similar platforms.
• Solid knowledge of system architecture, APIs, and distributed systems, with the ability to identify and diagnose performance bottlenecks.
• Experience collaborating with cross-functional teams (Developers, DevOps, QA) to troubleshoot and optimize performance issues.
• Familiarity with cloud environments (AWS preferred) and understanding of scalability and capacity planning concepts.
• Strong scripting or programming skills (e.g., Python, Bash, Java, or similar) to develop and maintain test scripts.
• Excellent analytical, communication, and reporting skills, with the ability to produce clear and actionable performance reports.
• A continuous improvement mindset, with experience refining test strategies, automation frameworks, and reporting processes.

• Design, develop, and maintain performance, load, and stress testing scripts for RESTful and GraphQL APIs.
• Define performance metrics (throughput, latency, error rates, etc.) and establish baselines and SLAs.
• Use tools like JMeter or LoadRunner to execute performance tests. (on our existing projects we're using JMeter)
• Integrate performance tests into CI/CD pipelines (e.g., Git).
• Collaborate with developers, DevOps, and QA teams to identify performance bottlenecks and optimize system performance.
• Analyze results using tools such as Grafana, or CloudWatch and provide detailed performance reports.
• Support capacity planning and scalability assessments for production environments.
• Drive continuous improvement in performance testing strategy, automation, and reporting.

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