Performance Test Engineer

XPT Software; Sydney; On-site; AUD 120,000 - 160,000; Full time

Job summary

XPT Software is seeking a senior performance engineer in Sydney to design, implement, and scale performance tests across multi-cloud and on-prem environments. You will optimize databases, automate test suites, and integrate performance checks into CI/CD pipelines, leveraging tools like LoadRunner, JMeter, AppDynamics, Splunk, and Azure services.

The role requires strong scripting in Python/Java/Groovy, expertise in big data ecosystems (Hadoop, Spark, Kafka), and experience with MQ/API testing in

Qualifications

• Proficiency in performance testing tools like LoadRunner or Jmeter.
• Strong scripting skills in Python, Java, or Groovy for performance test automation.
• Deep understanding of database optimization and distributed computing.
• Familiarity with CI/CD pipelines and integrating performance testing.
• Experience with monitoring tools like App Dynamics, Splunk, Azure Monitor, Dynatrace, Splunk etc.
• Strong experience in Performance Engineering capabilities with innovative mindset
• Experience in scripting and testing MQ , API and complex architecture involve multi cloud and on-premise applications
• Strong expertise in Big Data technologies (e.g., Hadoop, Spark, Kafka).
• Hands-on experience with Azure PaaS, SaaS services (Data Factory, Synapse, Databricks).

Skills

Performance testing

Scripting

Database optimization

CI/CD

Big Data

Tools

LoadRunner

JMeter

AppDynamics

Splunk

Azure Monitor

Dynatrace

MQ testing

API testing

Hadoop

Spark

Kafka

Azure Data Factory

Azure Synapse

Databricks

Job description

• 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 Strong experience in Performance Engineering capabilities with innovative mindset
• 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).