QA Lead
Core
Lead quality strategy and automation for a Cloud Analytics platform, specifically focusing on AI-powered, agentic, and non-deterministic systems.
Role type
Senior QA Lead (Individual Contributor)
Builds
Cloud Analytics platform components, AI agent workflows, and automated testing pipelines.
Domain
Cloud Analytics / Artificial Intelligence / Agentic Systems
Deliverable
production ML models | product features | infrastructure
Required skills
QA leadership, automation strategy, CI/CD architecture, Python, TypeScript, cloud-native infrastructure (AWS/Azure/GCP), Kubernetes, Docker, prompt engineering, agent frameworks (LangChain, LlamaIndex, AutoGen, CrewAI), non-deterministic system evaluation, adversarial testing.
Preferred skills
Experience with compiled languages (Java, Go, C#), UI/API/contract testing frameworks (Playwright, Stryker, pytest, REST Assured, Pact), behavioral contracts, statistical confidence thresholds.
Technologies
Python, TypeScript, Java, Go, C#, AWS, Azure, GCP, Kubernetes, Docker, Jenkins, GitHub Actions, LangChain, LlamaIndex, AutoGen, CrewAI, Playwright, Stryker, pytest, REST Assured, Pact.
Responsibilities
Define and evolve QA processes for AI and agentic systems; plan and execute test strategy for Cloud Analytics platform; lead RCA reviews and post-deployment quality monitoring; design performance, concurrency, and latency test scenarios; define acceptance criteria for non-deterministic systems; implement AI-enabled automation workflows; coordinate cross-organization testing activities.
Seniority
Senior, hands-on IC