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Senior Performance Test Engineer

Relevant Experience: 3- 4 years of experience

About the Role:

  • We are seeking a passionate and detail-oriented Performance Engineer to join our QA team. will be responsible to design, execute, and analyze performance tests to ensure our applications are scalable, stable, and reliable under different loads.
  • Position Description:
  • Design, develop, and execute performance test plans, scripts, and scenarios using tools like LoadRunner, JMeter, Gatling, or K6.
  • Perform load, stress, endurance, and scalability testing across web, mobile, and API layers.
  • Analyze system performance metrics (CPU, memory, network, response time, throughput) and identify bottlenecks across application, database, and infrastructure layers.
  • Collaborate with development, DevOps, and infrastructure teams to optimize application performance and scalability.
  • Establish performance baselines and benchmark metrics for critical business flows.
  • Contribute to CI/CD integration of performance tests (e.g., Jenkins, GitLab, Azure DevOps).
  • Provide detailed test reports and recommendations to stakeholders.
  • Utilize monitoring and profiling tools (e.g., Dynatrace, AppDynamics, Grafana, Prometheus, New Relic) to assess performance under load.
  • Participate in capacity planning and performance tuning exercises.
  • Support root cause analysis (RCA) for production performance incidents

Duties and responsibilities:

  • Bachelor’s degree in Computer Science, Information Technology, or related field.
  • 3–4 years of experience in performance testing and engineering.
  • Hands-on experience with one or more performance testing tools: JMeter, LoadRunner, NeoLoad, Gatling, or K6.
  • Strong understanding of HTTP, REST APIs, SQL/NoSQL databases, and application server tuning.
  • Familiarity with profiling tools and APM solutions (Dynatrace, AppDynamics, Grafana, etc.).
  • Proficient in scripting (Python, Groovy, Java, or JavaScript) for custom load scenarios.
  • Knowledge of CI/CD pipelines, Docker, Kubernetes, or cloud platforms (AWS, Azure, GCP) is a plus.
  • Strong analytical, problem-solving, and communication skills
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