Tech Lead – QA – Performance Testing

Sutherland

. Design, execute, and analyze performance tests for web applications, BI reports/dashboards, and ETL/data models .

Posted 9/29/2026full-timeRemote • India, QatarSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in performance engineering and test automation, focusing on web applications, BI reports, and ETL/data models. Proficient in using JMeter, Playwright, and Azure DevOps to design and execute performance tests while collaborating effectively with cross-functional teams.

Highest-signal resume keywords

Performance EngineeringJMeter Test PlansPlaywright ScriptingAzure DevOps PipelinesAgile Methodologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Performance TestingLoad TestingStress TestingETL ValidationData ModelingBI Performance AssessmentHTTP/APIs UnderstandingRoot-Cause AnalysisCustom ScriptingPerformance Metrics

Soft Skills

Strong CommunicationFast Learning Ability

Tools & Technologies

JMeterPlaywrightAzure DevOpsGitHub CopilotMCPPower BITableauCognosK6Grafana

Industry Keywords

Performance EngineeringTest AutomationBI ToolsETL/Data ModelsAgile Release Trains

Tech Stack

Tools & technologies

AzureCloudCognosETLGrafanaJavaScriptJMeterPythonTableauTypeScript

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

Employees can work remotely
Full-time employment