- Demonstrated expertise in Performance Engineering with an innovative and solution‑oriented mindset.
- Experience in Chaos Engineering practices.
- Strong experience in LoadRunner scripting and testing across MQ, APIs, and complex architectures involving multi‑cloud and on‑premises systems.
- Exposure to Big Data technologies (e.g., Hadoop, Spark, Kafka) is an advantage.
- Hands‑on experience with Azure PaaS/SaaS services such as Data Factory, Synapse, and Databricks.
- Proven ability to lead end‑to‑end performance testing engagements.
- Experience in project estimation and resource management.
- Innovative thinking, with exposure to AI capabilities considered an advantage.
- Experience in non‑functional requirements gathering and driving.
- Experience in test plan and test closure reports.
- Experience in performance tuning and recommendations.
Technical Skills
- Proficiency with performance testing tools such as JMeter,
LoadRunner, or Gatling.
- Strong scripting capability in Python, Java, or Groovy for test automation.
- Deep understanding of database tuning and distributed computing systems.
- Familiarity with CI/CD pipelines and integration of performance testing within them.
- Experience with monitoring and observability tools such as AppDynamics, Splunk, Azure Monitor, Dynatrace, etc.
Soft Skills
- Strong analytical and problem‑solving abilities.
- Effective leadership and team collaboration skills.
- Excellent stakeholder management capabilities, with flexibility in working hours.
- Experience working in both onshore and offshore delivery models.
- Solid communication skills, with the ability to engage both technical and non‑technical audiences.
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📌 Performance Testing (City of Sydney)
🏢 Xpt Software Australia
📍 City of Sydney
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