Design, develop, and execute load, stress, and endurance tests for web and API-based applications.
Develop robust performance test scripts with parameterization, correlation, and dynamic data handling.
Analyze performance test results, identify bottlenecks, and provide detailed root cause analysis across application and database layers.
Use observability platforms (Dynatrace, AppDynamics, Grafana, CloudWatch, etc.) to correlate metrics and traces with test outcomes.
Collaborate with developers and infrastructure engineers to tune performance and resolve scalability issues.
Generate detailed performance reports, including trend charts, 95th percentile analysis, and throughput summaries.
Present findings and recommendations to stakeholders during review or tuning sessions.
Contribute to automation and CI / CD integration for performance test execution.
Support ongoing initiatives in cloud performance testing and system optimization.
Must-Have Skills :
Hands-on experience with Performance Testing Tools such as JMeter, LoadRunner, Gatling, or k6, with end-to-end script creation, parameterization, correlation, and test design for dynamic flows.
Proven ability to analyze throughput, latency, and concurrency metrics and interpret complex performance test outcomes.
Strong understanding of bottleneck diagnosis across application, middleware, and database layers, including response time breakdown and 95th percentile interpretation.
Proficiency with monitoring and observability tools (Dynatrace, AppDynamics, Grafana, CloudWatch, etc.) able to read dashboards, traces, and KPIs to validate performance health.
Working knowledge of scripting and automation (Python, Shell, REST CLI tools) for test execution, data setup, and integration with pipelines.
Strong stakeholder communication skills capable of preparing and presenting performance summaries, RCA reports, and improvement plans.
Proven experience in high-volume transactional domains such as BFSI, Fintech, Insurance, or Telecom, dealing with SLA-driven, multi-tier systems.
Nice-to-Have Skills :
Experience with LoadRunner protocols (HTTP, Web, Citrix) in addition to other tools.
Exposure to cloud-native performance testing in AWS, GCP, or Azure environments, including autoscaling and telemetry analysis.
Experience integrating performance testing with CI / CD pipelines (Jenkins, GitLab, Azure DevOps) and feedback loop automation.
Familiarity with advanced infrastructure diagnostics, including JVM GC tuning, thread dump analysis, and TCP-level investigation.
Certifications such as ISTQB Advanced Performance Testing or equivalent are an advantage but not mandatory.