AI-Powered Performance Test Engineer

2 - 3 years

4 - 5 Lacs

Posted:15 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Role:
Leverage AI/ML to optimize load testing, scalability analysis, and bottleneck detection.
Requirements
  • Design AI-enhanced performance tests using any of Performance test tools like (JMeter/ Blazemeter/ k6/ Locust) with realistic traffic simulation using ML models.
  • Implement AI for:

  • Predictive scaling

    (forecast infrastructure needs from historical data).
  • Root cause analysis

    (auto-correlate metrics like latency/CPU to pinpoint issues).
  • Self-tuning tests

    (dynamically adjust load parameters based on system behavior).
  • Integrate with observability stacks (Grafana/Prometheus) + AIOps tools (Dynatrace, Datadog)
  • Analyze logs/metrics using NLP/ML (e.g., cluster error patterns automatically).
  • Work with CI/CD pipelines (Jenkins, GitHub Actions) for AI-driven test execution.
Required Skills:
  • Strong performance testing in any Performance test tools (JMeter, Blazemegter, k6).
  • Python/Go for AI/analytics (e.g., Pandas, TensorFlow for metrics analysis).
  • Cloud load testing (AWS/Azure Load Testing).

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