Role: Performance Test Lead
Location: Charlotte NC - Onsite
Skills: Chaos Testing
Job Description
- Define and drive the enterprise performance engineering strategy to ensure applications are scalable resilient and optimized for high availability.
- Architect and lead end-to-end performance testing solutions using tools such as LoadRunner and JMeter across distributed and microservices-based systems.
- Establish performance standards governance and best practices across multiple engineering teams.
- Leverage observability platforms such as Splunk AppDynamics (AppD) and Grafana to analyze system behavior detect anomalies and troubleshoot performance bottlenecks.
- Partner with architecture DevOps and cloud engineering teams to design performance-optimized solutions in cloud and hybrid environments.
- Drive capacity planning workload modeling and performance forecasting to ensure systems meet business SLAs and growth expectations.
- Integrate performance testing into CI/CD pipelines to enable continuous performance validation.
- Lead root cause analysis of production performance issues and recommend architectural improvements.
- Implement Chaos Engineering practices to validate system resilience and ensure applications can withstand unexpected failures and infrastructure disruptions.
- Communicate performance insights risks and optimization strategies clearly to technical teams product owners and executive leadership.
Role: Performance Test Lead Location: Charlotte NC - Onsite Skills: Chaos Testing Job Description Define and drive the enterprise performance engineering strategy to ensure applications are scalable resilient and optimized for high availability. Architect and lead end-to-end performance tes...
Role: Performance Test Lead
Location: Charlotte NC - Onsite
Skills: Chaos Testing
Job Description
- Define and drive the enterprise performance engineering strategy to ensure applications are scalable resilient and optimized for high availability.
- Architect and lead end-to-end performance testing solutions using tools such as LoadRunner and JMeter across distributed and microservices-based systems.
- Establish performance standards governance and best practices across multiple engineering teams.
- Leverage observability platforms such as Splunk AppDynamics (AppD) and Grafana to analyze system behavior detect anomalies and troubleshoot performance bottlenecks.
- Partner with architecture DevOps and cloud engineering teams to design performance-optimized solutions in cloud and hybrid environments.
- Drive capacity planning workload modeling and performance forecasting to ensure systems meet business SLAs and growth expectations.
- Integrate performance testing into CI/CD pipelines to enable continuous performance validation.
- Lead root cause analysis of production performance issues and recommend architectural improvements.
- Implement Chaos Engineering practices to validate system resilience and ensure applications can withstand unexpected failures and infrastructure disruptions.
- Communicate performance insights risks and optimization strategies clearly to technical teams product owners and executive leadership.
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