06 Sep
|
Recognized
|
Sydney
Ø Proficiency
in performance testing tools like LoadRunner or Jmeter.
Ø Strong
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 innovative 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