Tech Lead QA Performance Testing

Role summary

We are looking for a Performance Engineer to design and execute performance testing across web applications BI workloads and ETL/data models in a SAFe environment. The role requires strong hands-on experience with Apache JMeter JavaScript/TypeScript Python and Playwright for custom web BI and ETL performance scripting. Azure DevOps pipeline experience is required. Ability to learn quickly is essential. Hands-on use of GitHub Copilot is needed; familiarity with MCP is a plus.

Responsibilities

• Design execute and analyze performance tests for web apps BI reports/dashboards and ETL/data models JMeter (load stress soak spike) for web and custom Playwright/Python scripts for BI and ETL and convert SLAs into measurable thresholds.
• Validate ETL pipeline and data-model performance job runtime data volume handling transformation throughput and downstream reporting impact.
• Assess BI performance 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 work with development QA data and operations teams.
• Participate in SAFe ceremonies (PI Planning Sprint Planning System Demo Inspect & Adapt) and deliver against iteration/PI goals.
• Use GitHub Copilot (and MCP where available) to accelerate scripting analysis and documentation.

Qualifications :

Required skills

• 48 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 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 (latency throughput error rate concurrency job duration).
• Practical experience with GitHub Copilot; familiarity with MCP is a plus.
• Strong communication root-cause analysis and fast learning ability.

Nice to have

• Deeper ETL / data pipeline background.
• BI tools such as Power BI Tableau Cognos or similar.
• k6 Grafana Datadog Application Insights or other observability tools.
• Cloud experience (Azure preferred).

Education

Bachelors degree in Computer Science Engineering or equivalent experience.

Additional Information :

All your information will be kept confidential according to EEO guidelines.

Remote Work :

Yes

Employment Type :

Full-time