1215799 Systems Platform QA and AI engineer
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Job Description
Structured overview of role & requirementsAbout This Role
Own end-to-end quality engineering for enterprise storage platforms focusing on hardware-software interactions across multiple system layers.
Design and develop scalable Python automation frameworks and tools to enhance test coverage, validation, debugging, and productivity.
Apply AI/ML techniques for failure analysis, test optimization, anomaly detection, and workflow automation in large-scale enterprise storage environments.
Minimum Requirements
Bachelor’s or Master’s degree in Computer Science, Information Systems, or equivalent.
3-5 years of experience, with strong exposure to enterprise storage or similar large-scale distributed systems.
Strong programming skills in Python and solid understanding of Linux/Unix operating systems and testing fundamentals.
Work Experience Required: 3-5 years specific to enterprise storage or similar systems.
Ideal Candidate Profile
Experienced in multi-layered system debugging and cross-functional collaboration in enterprise storage environments.
Demonstrated ability to build reusable automation tools and apply AI/ML to solve engineering or quality problems.
Focused on reliability, scalability, and detailed analysis of complex systems with strong troubleshooting and mentoring capabilities.