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

Key Skills

Education

Bachelor's degree