Performance Tester (Jmeter & Playwright exp is needed)

Job Title: Senior Performance Tester

• 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 

  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