Performance Test Engineer

XPT Software Australia; Sydney; On-site; AUD 150,000 - 190,000; Full time

Job summary

XPT Software Australia, based in Sydney, is seeking a Senior Performance Engineer to lead performance testing across complex multi-cloud and on-prem environments.

You will design, implement, and execute scalable performance tests, integrate with CI/CD, and work with data platforms and monitoring tools to optimize system reliability.

Qualifications

• Experience leading performance testing programs end-to-end.
• Strong programming/scripting capabilities for test automation.
• In-depth knowledge of DB optimization and distributed systems.
• Familiarity with modern CI/CD pipelines and testing in CI.
• Hands-on with monitoring and observability tools.
• Experience with chaos engineering practices.
• Experience testing MQ, APIs and multi-cloud/on-prem architectures.
• Expertise in Big Data technologies such as Hadoop, Spark, Kafka.

Responsibilities

• Lead performance testing efforts from planning through closure.
• Design scalable performance tests and automation.
• Collaborate with cross-functional teams across cloud/on-prem environments.
• Analyze results and drive improvements in performance and reliability.

Skills

Performance testing

Scripting (Python, Java, Groovy)

Database optimization

Distributed computing

CI/CD integration

Chaos engineering

MQ testing

API testing

Big Data tech

Tools

LoadRunner

JMeter

AppDynamics

Splunk

Azure Monitor

Dynatrace

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 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.