Senior QA engineer (AI Platform)
Core
Own end-to-end quality assurance for PulseAI, an on-premises AI infrastructure platform serving multi-tenant enterprise customers.
Role type
Senior QA Engineer (AI Infrastructure Platform)
Builds
Automated regression suites, test plans, and quality metrics for a Kubernetes-native AI platform.
Domain
AI/ML Infrastructure, Cloud Security, Multi-tenant SaaS
Deliverable
production ML models | product features | dashboards & analysis
Required skills
QA strategy design, test automation (Selenium, Playwright), Kubernetes testing, API testing, RBAC validation, GPU resource management testing, CI/CD integration, UAT coordination, performance benchmarking
Preferred skills
AI/ML model testing, NVIDIA GPU testing, GitOps deployment testing, workflow automation tools, ISTQB Advanced Level certification
Technologies
Selenium, Playwright, Kubernetes, Linux, REST APIs, OpenAI-compatible endpoints
Responsibilities
Define and execute end-to-end QA strategy; translate requirements into test plans and traceability matrices; validate multi-role RBAC and access controls; test GPU resource quota management and hardware compatibility; execute end-to-end testing of AI inference deployment pipelines; verify multi-tenant isolation and secrets management; build and maintain automated regression suites; coordinate UAT cycles; execute performance benchmark tests
Seniority
Senior, hands-on IC