Performance tester E2

Required Skills and Qualifications

•   Performance testing: Hands-on experience planning and executing performance tests, modeling workloads, interpreting results, and identifying bottlenecks.

•   Apache JMeter: Strong proficiency in test-plan development, thread groups, timers, assertions, parameterization, correlation, and results analysis.

•   Python: Hands-on proficiency in developing and debugging Python scripts for test automation, REST API validation, test data preparation, performance test execution, and results reporting, including JSON handling, logging, and exception handling.

•   Linux: Practical command-line skills for log analysis, process inspection, resource monitoring, and troubleshooting.

•   Databases: Strong SQL skills and experience validating data, analyzing queries, and investigating database-related performance issues.

•   REST API testing: Experience testing HTTP methods, status codes, headers, authentication, JSON payloads, and positive and negative scenarios using JMeter, Postman, or equivalent tools.

•   Functional testing: Ability to design test cases, validate end-to-end workflows, identify defects, and perform regression testing.

•   Technical fundamentals: Understanding of client-server systems, web services, distributed applications, and how application and infrastructure components affect performance.

•   Collaboration and communication: Strong analytical skills and the ability to produce clear defect reports and performance summaries for technical and nontechnical stakeholders.

•   Education: Bachelor's or Master’s degree in Computer Science, Information Technology, Engineering, or a related discipline, or equivalent practical experience.

Preferred Qualifications

•   Experience with Docker and Kubernetes, including container logs, resource limits, and troubleshooting application performance in containerized environments.

•   Familiarity with monitoring and observability tools such as Prometheus, Grafana, or application performance monitoring platforms.

•   Experience using Python, shell scripting, or Groovy to automate test preparation, execution, and reporting.

•   Familiarity with Git and CI/CD pipelines for integrating performance tests into delivery workflows.

•   Exposure to cloud-hosted applications, microservices, and capacity planning.