DevRev

SDET

• Design and execute comprehensive performance test strategies — Load, Stress, Soak, Spike, Scalability, and Endurance testing.
• Develop and maintain performance scripts using tools such as JMeter, Gatling, LoadRunner, Locust, or k6.
• Simulate realistic user traffic and workload models for distributed systems.
• Perform root cause analysis across application, API, database, and infrastructure layers.
• Define and maintain performance baselines, SLAs, and SLOs.
• Integrate performance tests into CI/CD pipelines for continuous validation.
• Build AI-driven performance analysis frameworks using pattern recognition and anomaly detection.
• Develop custom test agents/orchestrators using MCPs to simulate large-scale, multi-node workloads.
• Implement self-healing test systems that adapt dynamically to environment changes.
• Use ML models to predict performance degradation and proactively optimize systems.
• Automate root cause detection with AI-assisted observability insights.
• Use observability tools (Grafana, Prometheus, Datadog, New Relic, AppDynamics) to monitor and analyze performance metrics.
• Create visual dashboards to communicate trends and optimization opportunities.
• Collaborate with SRE and development teams for end-to-end performance tuning.
• Partner with engineering, QA, and platform teams early in the SDLC to define performance goals.
• Conduct post-release reviews and contribute to testing standards and best practices.

Performance Test Engineer