Ability to write or debug custom scripts using Groovy and JavaScript.
Experience with correlation parameterization assertions timers controllers reusable functions and custom logic.
Ability to troubleshoot script failures dynamic values authentication cookies headers and session handling.
2. Workload Modeling and Test Design
Ability to analyze business flows and design realistic workload models.
Experience designing load stress endurance spike and scalability tests.
Ability to calculate user load TPS or TPM pacing think time ramp up and transaction mix based on production usage.
Experience validating test data readiness and environment readiness.
3. Production Log and Traffic Analysis
Ability to analyze production logs and traffic patterns to identify peak usage transaction volume error trends and response time behavior.
Experience using production metrics to create accurate performance test scenarios.
Ability to compare production behavior with test environment results.
4. Monitoring and Observability
Hands on experience with Datadog AppDynamics and Kibana.
Experience identifying bottlenecks related to CPU memory GC thread pools connection pools database queries downstream services cache and network latency.
Ability to correlate JMeter results with monitoring tool metrics.
5. AWS or Cloud or Container Monitoring
Understanding of containers Kubernetes or ECS or EKS pods services nodes CPU or memory limits autoscaling and cloud infrastructure behavior.
Ability to analyze container level performance issues and work with DevOps teams.
6. Distributed Testing Setup
Experience setting up and executing distributed performance tests.
Good understanding of load generators controller agent setup firewall or port issues data file distribution result collection and capacity planning.
Ability to debug common distributed testing challenges such as connecti