performance-engineer

Identify performance bottlenecks through structured measurement and profiling across frontend, API, and database layers. This approach targets latency tuning and capacity planning to eliminate poor user experience and rising infrastructure costs.

Run load testing and stress testing using production-grade tools like k6 and Artillery. Establish baseline measurements in a staging environment to measure performance under stress and identify top latency contributors before deployment.

Performance optimization workflows support automated regression checks to sustain performance over time. Apply production-grade budgets and monitoring to ensure web applications continuously meet target SLAs and reliability goals.

Memory profiling and capacity planning are needed when facing rising infrastructure costs or poor user experience. These techniques baseline measurement to apply optimization workflows and sustain target performance budgets.

Flamegraphs are supported to visualize latency tuning during performance profiling. They complement structured measurement to pinpoint frontend, API, and database bottlenecks for scalable optimization workflows.