Source description
About the role
Job Requirements*
8+ years of Performance Testing and Performance Engineering experience.
8+ years of hands-on Apache JMeter experience.
Strong experience architecting enterprise-scale performance testing solutions.
Experience leading engineering performance initiatives across complex distributed systems.
Apache JMeter
Expert-level knowledge of JMeter architecture and internals.
Advanced Groovy / JSR223 scripting.
Distributed JMeter execution architecture.
Correlation and parameterization frameworks.
Custom plugin development.
JMeter JVM tuning and optimization.
Backend Listener integration.
Test data management strategies.
Non-GUI execution and large-scale test execution.
Other Skills
Performance Engineering & Architecture
Microservices & API Testing (REST APIs, GraphQL APIs, WebSocket Testing)
Cloud-Native Performance Testing
Monitoring & Diagnostics (Grafana, Prometheus, Dynatrace, AppDynamics, Splunk, ELK Stack)
CI/CD integration (Jenkins, Azure DevOps, GitHub Actions and GitLab CI/CD).
Key Performance
Architecture Leadership berribot jd version 3
Responsibilities*
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• Define enterprise-wide performance testing strategy and standards.
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• Design scalable performance testing frameworks.
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• Build reusable JMeter accelerators and frameworks.
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• Establish performance engineering best practices across programs.
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Performance Testing Execution
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• Design and execute Load, Stress, Spike, Endurance and Scalability tests.
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• Perform complex test scripting, correlation and parameterization.
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• Design distributed load testing frameworks.
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• Execute large-scale performance tests for mission-critical applications.
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Performance Diagnostics
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• Perform root cause analysis across application, database, middleware, infrastructure and network layers.
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• Analyze JVM, Heap Dumps, Thread Dumps and GC Logs.
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• Identify bottlenecks and optimization opportunities.
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Technical Leadership
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• Mentor and guide performance testing teams.
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• Conduct architecture reviews and technical assessments.
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• Review test plans, scripts and performance reports.
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• Drive adoption of performance engineering standards.
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DevOps & Automation
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• Integrate performance testing into CI/CD pipelines.
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• Implement automated performance regression suites.
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• Define performance quality gates and release criteria.
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