Job Summary
**Responsibilities**:
1. Performance Test Scripting
Strong experience with JMeter scripting.
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 connectivity issues file path issues permission issues resource saturation and inconsistent results.
7. Performance Analysis and Reporting
Ability to analyze response times throughput error percentage percentiles saturation points and bottlenecks.
Strong skills in preparing clear Observations and Recommendations.
Ability to explain performance findings to technical and non technical stakeholders.
8. Leadership and Communication
Should be able to lead performance testing activities independently.
Should have strong communication skills and the ability to coordinate with multiple teams.
Should be proactive in identifying risks blockers environment issues and test data gaps.
Should be able to mentor junior performance testers if needed.
Preferred Tools and Technologies
JMeter
Groovy / JavaScript
Datadog
AppDynamics
Kibana / Elasticsearch
AWS monitoring
Docker / Kubernetes / ECS / EKS
CI/CD pipeline integration
Git / Jenkins
API testing tools
SQL/log analysis