Ø Proficiency
in performance testing tools like LoadRunner or Jmeter.

Ø Solid
scripting skills in Python, Java, or Groovy for performance test automation.

Ø Deep
understanding of database optimization and distributed computing.

Ø Familiarity
with CI/CD pipelines and integrating performance testing.

Ø Experience
with monitoring tools like App Dynamics, Splunk, Azure Monitor, Dynatrace,
Splunk etc.

Ø Solid
experience in Performance Engineering capabilities with cutting-edge mindset

Ø Experience
in Chaos engineering

Ø Experience
in scripting and testing MQ , API and complex architecture involve multi cloud
and on-premise applications

Ø Strong
expertise in Big Data technologies (e.g., Hadoop, Spark, Kafka).

Ø Hands-on
experience with Azure PaaS, SaaS services (Data Factory, Synapse, Databricks).

Ø Proven
track record of leading performance testing efforts from planning to closure.

📌 Performance Test Engineer Sydney
🏢 Recognized
📍 Sydney