SDET

• Design, develop, and maintain performance test scripts and scenarios using tools such as k6, Gatling, JMeter, or Python
• Build and maintain realistic workload models that accurately represent production traffic patterns and user behavior
• Define and document performance test objectives, entry/exit criteria, and service level objectives (SLOs)
• Execute a range of test types including baseline, load, stress, soak, spike, and scalability tests
• Analyze test results to identify bottlenecks, regressions, and areas of concern; produce clear written findings and recommendations
• Collaborate closely with developers, QA engineers, and architects to share results and support remediation efforts
• Set up and maintain performance test environments and test data in alignment with production configurations
• Integrate performance tests into CI/CD pipelines to enable continuous performance validation
• Define and configure monitoring dashboards and alert thresholds using observability platforms (e.g. Datadog, Grafana, Prometheus)
• Triage performance-related defects and contribute to root cause analysis investigations
• Maintain performance test documentation, test plans, and results archives
• Leverage AI-assisted tooling for automated anomaly detection, intelligent baselining, and accelerated result analysis
• Use AI/ML-powered AIOps platforms to identify trends, predict regressions, and reduce mean time to detection (MTTD) for performance issues

Performance Test Engineer

• Audit the current state of QA across all development teams, identify gaps, and build a clear automation roadmap with concrete goals and milestones.
• Design and implement automation frameworks and quality gates that teams can adopt and run independently, without requiring QA involvement for every release.
• Act as the reference for QA standards and practices, enabling teams to self-serve, raise the quality, and integrate quality checks into deployment pipelines.
• Define and track QA metrics such as test coverage, defect rates, and release quality, and use them to drive continuous improvement across teams.
• Evaluate new AI and automation approaches regularly and bring forward the ones that will have the most impact.

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Performance Test Engineer

QA Automation Lead