> Markdown version of [/jobs/ext/3780815-qa-engineer-performance-load-testing](https://www.wearedevelopers.com/jobs/ext/3780815-qa-engineer-performance-load-testing). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # QA Engineer - Performance & Load Testing - **Company:** Motion Recruitment Partners LLC. - **Location:** New York, NY, United States - **Contract:** Contract - **Skills:** Application Programming Interfaces (APIs), Apache JMeter, Load Testing, WebSocket, Gatling, Event Driven Architecture - **Published:** October 16, 2026 - **Apply:** https://www.dice.com/job-detail/9a209bca-42c7-4da7-9f67-75e900763242 ## About the Role * MUST HAVE: Extensive hands-on experience with named load-testing tools (k6, JMeter, Gatling, or Locust). * Strong background in testing HTTP/API and event/WebSocket traffic. * Proven ability to perform deep performance analysis (latency percentiles, error rates, throughput). * Demonstrated evidence of tracing bottlenecks and building scale-scenarios. * Commitment to working entirely as a hands-on individual contributor. * Design and execute comprehensive load and performance test scenarios. * Analyze complex system metrics to identify throughput limits and latency percentiles. * Trace and isolate infrastructure and application bottlenecks. * Partner with engineering teams to optimize performance for a large-scale platform merger. ## Description Our client is a global financial services enterprise powering millions of daily consumer transactions. They are currently expanding their premium global dining division to support a major platform merger, requiring highly scalable, real-time infrastructure to handle high-volume traffic., They are looking for a Performance & Load Testing QA Engineer for a 100% hands-on, individual contributor role. You will ensure system stability during the integration of two major reservation platforms by designing complex load-test scenarios, analyzing latency percentiles, and tracking bottlenecks across APIs and event-driven architecture.