Non-functional Tester

Develops and implements performance testing strategies aligned with organizational goals, ensuring scalability, reliability, and performance. They design robust, enterprise-level performance testing frameworks and lead the integration of testing processes into CI/CD and DevOps workflows. As a strategic advisor, they provide expert guidance on optimizing application performance and scaling systems. The Architect leads research into emerging technologies, advocates for continuous learning, and mentors teams across the organization.

Job Responsibilities:

• Run predefined test cases and scripts using performance testing tools like JMeter, LoadRunner, or Gatling to evaluate system stability, scalability, and reliability.
• Support the creation of test scripts and scenarios under the guidance of senior engineers, ensuring proper test coverage.
• Help automate performance test execution and result analysis to improve efficiency and consistency in testing processes.
• Use monitoring tools like Dynatrace, AppDynamics, or New Relic to observe system behavior during test execution and gather key performance metrics.
• Assist in identifying performance bottlenecks and potential issues by reviewing test outcomes and system resource utilization data.
• Collaborate with development and operations teams to troubleshoot and resolve performance-related problems, contributing to system optimization.
• Prepare clear and concise reports on performance test results, highlighting key insights and recommendations for stakeholders.
• Support performance test integration within CI/CD pipelines to enable continuous performance validation.
• Continuously develop proficiency in performance testing tools, scripting languages (Python, Java, Groovy), and best practices to improve test effectiveness.
• Work closely with cross-functional teams, demonstrating strong communication and teamwork skills to ensure smooth test execution and issue resolution.

Qualifications:

• Bachelor's degree in Computer Science, Information Technology, Software Engineering, Information Systems, or any related field is preferred
• Strong understanding of software development life cycle (SDLC), system architecture, and performance testing concepts is an advantage
• Background in programming or scripting (e.g., Python, Java, Groovy) and basic knowledge of systems, networking, or databases is a plus
• Exposure to performance testing tools (e.g., JMeter, LoadRunner, Gatling) through work experience, internships, or training is highly desirable.