QA Performance Engineer

Key Responsibilities

• Design, develop, and execute performance, load, stress, endurance, and spike tests using Apache JMeter.

• Analyze application performance and identify bottlenecks across application, database, and infrastructure layers.

• Define performance testing strategies, workload models, and acceptance criteria based on business and non-functional requirements.

• Create reusable and maintainable JMeter test scripts for web applications, REST APIs, and microservices.

• Monitor application performance using APM and infrastructure monitoring tools during test execution.

• Analyze test results and prepare detailed performance reports with observations, root cause analysis, and recommendations.

• Collaborate with developers, DevOps, database administrators, and infrastructure teams to resolve performance issues.

• Integrate performance tests into CI/CD pipelines to support continuous performance testing.

• Validate system scalability, stability, and reliability under expected and peak workloads.

• Participate in performance tuning discussions and recommend improvements to application architecture and infrastructure.

• Maintain performance testing documentation, scripts, and test data.

Required Skills

• 4 - 6 years of experience in performance testing and engineering.

• Strong hands-on experience with Apache JMeter.

• Experience designing and executing load, stress, endurance (soak), and spike tests.

• Experience testing REST APIs, web applications, and microservices.

• Strong understanding of HTTP/HTTPS, WebSockets, and API performance testing.

• Experience analyzing server-side metrics such as CPU, memory, disk I/O, network utilization, and thread usage.

• Knowledge of SQL for database validation and performance analysis.

• Familiarity with application performance monitoring (APM) tools such as Dynatrace, AppDynamics, New Relic, Grafana, or Prometheus.

• Experience integrating performance tests into CI/CD pipelines using Jenkins, Azure DevOps, GitHub Actions, or GitLab CI.

• Strong scripting knowledge for test parameterization, correlation, and custom logic using Groovy or BeanShell in JMeter.

• Experience with Git and version control.

• Strong analytical, troubleshooting, and problem-solving skills.

• Excellent communication and collaboration skills.