Web App Load & Stress Testingg

I'm looking for a testing specialist who can independently design and execute performance testing (load, stress, spike, and soak) against my web application and its authenticated REST APIs, and who's also comfortable testing my mobile app (iOS/Android) for stability and crashes using Crashlytics or Sentry data. The primary aim is to identify performance bottlenecks and crash-prone areas, so I need someone comfortable collecting hard data and translating it into clear, actionable recommendations. Once we start, I'll give you Swagger/OpenAPI docs or a Postman collection along with the required auth credentials, plus access to our Crashlytics/Sentry dashboards for the mobile app. You'll be expected to: • Plan realistic test scenarios that cover normal traffic, anticipated peaks, and worst-case spikes. • Use the tools you know best—JMeter, k6, Gatling, or even Locust—so long as they capture response time, throughput, and error rate accurately. • Review Crashlytics/Sentry data to identify recurring crashes, affected devices/OS versions, and any correlation with high-load conditions. • Flag any gaps you spot between my staging environment and production before running the first test. Deliverables 1. Plan for testing– summary of test scenarios, load profiles, and assumptions, covering both API/backend and mobile testing. 2. Detailed testing log – full execution log with graphs and tables for response time, throughput, error rate, and system resource usage, plus mobile crash data (top crash clusters, affected devices/OS versions, crash-free session rate). 3. Suggested fixes– clear identification of performance bottlenecks and crash trends, with prioritized, actionable recommendations for remediation. If the collaboration goes well, I'm open to bringing you back for regression and release-cycle testing down the road. Please attach two or three sample reports or case studies that show similar work you've completed — ideally covering both performance testing and mobile crash analysis.