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 including hardware, firmware, OS, and network.
Design and develop scalable Python automation frameworks and tools to enhance test coverage, system validation, and debugging.
Apply troubleshooting and AI/ML approaches to analyze system dependencies, perform root cause analysis, and build reusable engineering productivity tools.
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 systems or similar large-scale distributed systems.
Strong programming skills in Python and solid understanding of testing, debugging, and automation design.
Good understanding of Linux/Unix operating systems and experience in customer issue resolution and cross-functional collaboration.
Ideal Candidate Profile
Experienced in enterprise storage system architecture including hardware, firmware, drivers, and platform software layers.
Skilled in developing automation frameworks and applying AI/ML techniques (Gen AI, LLMs, prompt engineering) to quality engineering problems.
Approaches problems with a system thinking and QA mindset focusing on reliability, scalability, and edge conditions; capable of mentoring and knowledge sharing.