Required Skills: Chaos Testing, end-to-end performance testing solutions, LoadRunner, JMeter, Splunk, AppDynamics, Grafana, Performance testing into CI/CD pipelines

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.