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Job Description
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.