Systems Platform QA and AI engineer
Core
End-to-end quality engineering for enterprise storage platforms in hybrid cloud environments, combining test automation, systems troubleshooting, and AI/ML techniques.
Role type
Senior IC systems platform QA and AI engineer
Builds
Scalable Python-based automation frameworks, reusable engineering tools, and AI-assisted testing solutions
Domain
Enterprise storage, hybrid cloud, hardware/software/firmware layers
Deliverable
production ML models
Required skills
Python, test automation, systems debugging, Linux/Unix, enterprise storage protocols, root cause analysis
Preferred skills
AI/ML techniques, GenAI/LLMs, prompt engineering, anomaly detection, mentoring
Technologies
Python, Linux/Unix, storage protocols, firmware, BIOS, BMC/iLO
Responsibilities
Design and maintain scalable automation frameworks; troubleshoot complex cross-layer system issues; apply AI/ML to failure analysis and test optimization; build reusable tools for observability and productivity; collaborate on cross-functional quality challenges
Seniority
Mid-Senior, hands-on IC (via careerplan.io/jobs/77d4fa91-f000-43e5-b35a-966977cd98ec-systems-platform-qa-and-ai-engineer-at-jobgether)
