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 integration layers including firmware, BIOS, drivers, OS, and network.
Design and develop scalable Python-based automation frameworks and tools to improve test coverage, system validation, debugging, and productivity.
Apply AI/ML methods 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 enterprise storage systems or similar large-scale distributed systems.
Strong Python programming skills and solid understanding of testing fundamentals, debugging, and automation design.
Good understanding of Linux/Unix operating systems and experience with customer issue resolution and cross-functional collaboration.
Ideal Candidate Profile
Experience and expertise in enterprise storage systems at hardware, firmware, driver, and platform software layers.
Strong programming proficiency in Python with track record of building automation frameworks and tools.
Ability to apply AI/ML techniques (e.g., Gen AI, LLMs, prompt engineering) to solve complex quality engineering problems and optimize testing processes.