We are seeking a skilled and detail-oriented Performance Testing QA Engineer with 5–7 years of experience in non-functional testing, specializing in JMeter and LoadRunner. The ideal candidate will be responsible for designing, executing, and analyzing performance tests to ensure the scalability, stability, and reliability of our applications under load.
Key Responsibilities:
Design and develop performance test strategies, plans, and scripts using Apache JMeter and Micro Focus LoadRunner.
Perform load, stress, spike, endurance, and scalability testing for web and backend applications.
Gather performance requirements and system architecture inputs from developers, architects, and product teams.
Conduct test execution and analyze results to identify bottlenecks and performance issues.
Work with DevOps and engineering teams to tune systems for optimal performance.
Generate and present detailed performance test reports and recommendations to stakeholders.
Maintain test environments and test data for performance testing.
Continuously improve performance testing frameworks and methodologies.
Collaborate in Agile/Scrum teams and actively participate in planning and review meetings.
Required Skills and Experience:
5–7 years of overall QA/testing experience with at least 3+ years in performance testing.
Strong hands-on experience in JMeter and LoadRunner (VuGen scripting, Controller, Analysis).
Proficient in analyzing system performance metrics: CPU, memory, network, and database behavior under load.
Good understanding of web protocols(HTTP/HTTPS), APIs (REST/SOAP), and database systems.
Experience with CI/CD tools like Jenkins, Git, or similar for integrating performance tests.
Familiarity with APM tools like Dynatrace, AppDynamics, or New Relic is a plus.
Ability to write SQL queries for data validation and performance monitoring.
Excellent analytical, problem-solving, and communication skills.
Preferred Qualifications:
Bachelor’s degree in Computer Science, Engineering, or related field.
Certification in performance testing tools (e.g., LoadRunner Certified Professional) is a plus.
Knowledge of scripting languages (e.g., Python, Shell) for automation is an added advantage.
Exposure to cloud-based performance testing environments (AWS/GCP/Azure).