AI Quality Test Automation - Lead Software Engineer
Core
Own the strategy and execution of a modern, AI-accelerated test automation program, building platforms and frameworks that keep releases reliable at high velocity using AI to scale test creation, maintenance, and triage.
Role type
Lead Software Engineer (AI Quality & Test Automation)
Builds
Scalable automation platforms, frameworks, CI quality gates, and AI-assisted test generation infrastructure.
Domain
Software Engineering / AI / Quality Assurance / DevOps
Deliverable
production ML models | product features | infrastructure
Required skills
Test automation strategy, Python/TypeScript/Java/C#, CI/CD pipeline management, LLM-powered test generation, self-healing test infrastructure, risk-based testing, agentic AI patterns, behavioral testing for non-deterministic systems, root-cause analysis, technical leadership.
Preferred skills
Playwright/Cypress, Docker/Kubernetes, SQL, Elasticsearch, performance testing, Terraform, LangChain/LlamaIndex/AutoGen, evaluation harnesses for AI systems.
Technologies
Python, TypeScript, Java, C#, Docker, Kubernetes, GitHub Actions, Jenkins, Azure DevOps, LangChain, LlamaIndex, AutoGen, Terraform, AWS, Azure, GCP.
Responsibilities
Define and build scalable automation frameworks and governance standards; lead adoption of LLM-powered test generation and self-healing infrastructure; design adaptive quality gates for AI-accelerated CI/CD pipelines; build behavioral testing frameworks for validating AI agents and LLM features; establish observability and risk-scoring models for automated pipelines.
Seniority
Senior, hands-on IC with leadership responsibilities