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Strong brand, mid-level generalist QA title, metro location, and broad skill requirements increase candidate competition.
Niche AI-testing, Anthropic Claude, and domain-specific QA expertise reduces cross-industry transferability.
Explicit 5+ years plus many mandatory AI, automation, cloud, and database skills make screening strict.
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Lead software quality and AI testing initiatives to ensure reliability, scalability, and security across cloud platforms.
Design, develop, and maintain automated test suites for Java-based backend services, RESTful APIs, and Anthropic Claude AI-integrated features.
Build and maintain continuous integration evaluation frameworks to validate non-deterministic AI outputs and monitor quality metrics including performance and AI observability indicators.
5+ years of experience in software quality engineering testing Java-based backend services and RESTful APIs.
Proficiency with automation frameworks such as Selenium, TestNG, JUnit, RestAssured, or Cucumber.
Bachelor's or Master's degree in Computer Science, Mathematics, Physics, or related field.
Experience testing AI features (e.g., Anthropic Claude, LLM output validation, AI security testing); familiarity with PostgreSQL and Microsoft SQL Server for data validation.
Experienced in AI-focused quality assurance with demonstrated leadership in AI risk management and ethical governance.
Skilled in designing test strategies for complex microservices architectures and non-deterministic AI systems.
Capability to collaborate across product, software, and ML teams to deliver high-quality agile releases integrating AI features.