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About the Role:
- You will drive end-to-end QA for enterprise storage platforms in a hybrid cloud environment.
- You'll work across hardware, firmware, OS, and storage protocols, using Python and AI/ML.
Responsibilities:
- Design scalable Python automation frameworks and apply AI/ML for failure analysis and test optimization.
- Troubleshoot complex issues across system layers and collaborate with engineering teams.
Qualifications:
- 3–5 years in enterprise storage or large-scale distributed systems.
- Strong Python, Linux/Unix, QA fundamentals, and AI/ML experience preferred.
Jobgether
Our partner specializes in enterprise storage systems and hybrid cloud infrastructure. They foster an inclusive, collaborative culture that emphasizes continuous learning, mentoring, and innovation.