Performance Test Engineer

Description

Sybrant Technologies has been in the forefront of transforming its customers into full digital businesses. Though we are small, we grow at a rapid pace due to our capabilities in the contemporary technologies. Sybrant can deep dive in areas such as Mobility, IoT and Analytics in addition to traditional technologies. We can rapidly implement these solutions because of the Products, Frameworks and Partnerships that we have. In addition, our technically sound people and proven processes help in accelerating our customers' adoption curves. Advantage Sybrant has always been in its nimbleness and delivering high quality yet cost effective solutions. That's why we are the "Digital Transformation Power" behind our customers. We are a PreludeSys Group Company.

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).