12 Aug
|
Recognized
|
Sydney
Job Description:
Experience
· 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 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
· Solid
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.
· Strong
communication skills, with the ability to engage both technical and
non -technical audiences.