Tech Lead – QA – Performance Testing

Job Description:

  • Design, execute, and analyze performance tests for web applications, BI reports/dashboards, and ETL/data models
  • Use JMeter for load, stress, soak, and spike testing of web applications
  • Develop custom Playwright/Python scripts for BI and ETL performance testing
  • Convert SLAs into measurable performance thresholds
  • Validate ETL pipeline and data-model performance, including job runtime, data-volume handling, transformation throughput, and downstream reporting impact
  • Assess BI performance, including report/dashboard load times, query response, concurrent-user load, and refresh/batch windows
  • Integrate performance tests into Azure DevOps pipelines with automated quality gates, reporting, and release-readiness checks
  • Identify bottlenecks, publish clear findings, and collaborate with development, QA, data, and operations teams
  • Participate in SAFe ceremonies including PI Planning, Sprint Planning, System Demo, and Inspect & Adapt
  • Deliver against iteration and PI goals
  • Use GitHub Copilot and MCP where available to accelerate scripting, analysis, and documentation

Requirements:

  • 4–8 years in performance engineering or test automation with a strong performance focus
  • Strong JMeter experience: test plans, correlation, parameterization, assertions, distributed execution, and result analysis
  • Playwright with JavaScript/TypeScript and Python for custom client-side, BI, and ETL performance scripting
  • Experience performance-testing web applications, BI tools, and ETL/data models
  • Azure DevOps experience: pipelines, CI/CD, test execution, and reporting
  • Working knowledge of SAFe and ability to operate in Agile Release Trains
  • Solid understanding of HTTP/APIs, data flows, and core performance metrics including latency, throughput, error rate, concurrency, and job duration
  • Practical experience with GitHub Copilot; familiarity with MCP is a plus
  • Strong communication, root-cause analysis, and fast learning ability
  • Bachelor’s degree in Computer Science, Engineering, or equivalent experience
  • Deeper ETL/data pipeline background is nice to have
  • BI tools such as Power BI, Tableau, Cognos, or similar are nice to have
  • k6, Grafana, Datadog, Application Insights, or other observability tools are nice to have
  • Cloud experience, with Azure preferred, is nice to have

Benefits:

  • Employees can work remotely
  • Full-time employment
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