Performance Test Engineer with Playwright

Job Summary:

Senior Performance Tester

Key Responsibilities:

Performance Strategy & Planning:

• Collaborate with business and technical teams to gather

  Non-Functional Requirements (NFRs)

  .
• Define

  Performance Test Strategy

  , including test objectives, approach, tools, and SLAs.
• Identify critical business flows and create

  workload models

  based on production data.

Test Design & Scripting:

• Develop scalable and modular

  JMeter test scripts

  using advanced components and plugins.
• Parameterize and correlate scripts for realistic user behavior simulation.
• Prepare test data, environment configuration, and system readiness checklist.

Test Execution & Monitoring:

• Execute

  Load

  ,

  Stress

  ,

  Spike

  ,

  Endurance

  , and

  Scalability

  tests.
• Monitor application and infrastructure performance using:

• AppDynamics, Dynatrace, Grafana, Kibana, InfluxDB, or New Relic

  .
• Capture and analyze metrics like CPU, memory, heap, GC, DB performance, and thread utilization.

Analysis & Tuning Support:

• Identify performance bottlenecks and provide tuning suggestions (code, DB, infra).
• Work closely with developers, DBAs, and DevOps to validate and retest fixes.
• Perform root cause analysis of latency, errors, and failures under load.

Reporting:

• Generate detailed test execution reports including:
• Avg/max response time, percentiles, throughput, error rate, server utilization.
• Document findings, anomalies, RCA, and improvement recommendations.
• Present performance test results to project stakeholders with clarity.

Process Improvements & Best Practices:

• Contribute to continuous improvement of performance engineering practices.
• Implement version control, scripting standards, and reusable components.
• Participate in

  CI/CD integration

  using Jenkins, GitLab CI, or Azure DevOps.

Required Skills:

Area

Skills

Tool Expertise

Apache JMeter (core tool), BlazeMeter, Taurus, Playwright

Monitoring & Analysis

AppDynamics, Dynatrace, Grafana, Prometheus, Splunk

Protocols

HTTP/S, JDBC, REST, SOAP, WebSockets

CI/CD

Jenkins, GitLab, Azure DevOps

Scripting (Nice to Have)

Shell, Python, or Groovy

Databases

Basic SQL for DB performance validation

OS/Infrastructure

Linux command line, basic container/cloud exposure (AWS, Docker)

Performance Testing Strategy Sample Overview:

Phase

Activities

Requirement Gathering

Understand SLAs, user volumes, peak usage patterns

Test Planning

Define scope, tools, entry/exit criteria, KPIs

Test Design

Script creation, workload modeling, test data prep

Execution

Load/Stress/Spike/Soak tests with real-like traffic

Monitoring

Track infra & app metrics via APM tools

Analysis

Identify bottlenecks, suggest tuning, retest

Reporting

Summary with graphs, metrics, bottleneck summary