Quality Assurance Engineer

Reality Defender is hiring a Quality Assurance Engineer to ensure its APIs, SDKs, web app, and real-time integrations meet reliability and quality standards. The role owns product-area testing, builds automated test suites integrated with CI/CD, and partners with engineering, AI Research, Red Team, Customer Support, and Solutions Engineering on release validation and issue resolution.

Responsibilities:

• Own test planning and execution for assigned product areas — APIs, SDKs, the web app, and real-time voice and video integrations — from requirements review through release sign-off
• Build and maintain automated test suites (API, end-to-end, and regression) and integrate them into our CI/CD pipelines
• Find, document, and track defects with clear reproduction steps, severity, and impact, and work with engineers through to resolution
• Test the reliability and performance of real-time detection under realistic conditions — latency, load, varied audio and video quality, and different platforms and devices
• Help maintain the test data and media sets used to validate each release
• Partner with the AI Research and Red Team to support model release validation and regression testing
• Help Customer Support and Solutions Engineering reproduce and triage customer-reported issues
• Contribute to QA standards, documentation, and release checklists across the engineering team

Requirements:

• 3+ years of experience in software QA or quality engineering, testing web applications and APIs in a fast-moving release environment
• Hands-on experience writing automated tests in Python, JavaScript/TypeScript, or similar, using frameworks such as Pytest, Playwright, Cypress, or Selenium
• Experience testing REST APIs (e.g., Postman or code-based API tests) and working within CI/CD pipelines (e.g., GitHub Actions)
• Strong attention to detail and a systematic approach to finding edge cases — you think about how things break, not just whether they work
• Clear written communication: your bug reports and test plans are easy for engineers to act on
• Experience testing audio, video, or real-time communication products (WebRTC, telephony, conferencing)
• Experience testing ML-powered products or working with test datasets
• Exposure to performance or load testing tools (e.g., k6, Locust, JMeter)