QA Automation Engineer – GenAI, Storage & System Testing
Core
Design and develop scalable automation frameworks and AI-driven QA solutions (GenAI-based test generation, defect triage) to validate performance, reliability, and scalability of storage and OS environments.
Role type
Senior QA Automation Engineer (GenAI & Storage)
Builds
Automated testing frameworks, AI-driven test generation tools, and system-level validation pipelines for storage and OS environments.
Domain
Enterprise Storage, Operating Systems, Generative AI, DevOps
Deliverable
production ML models | product features
Required skills
Python, Perl, Linux/Unix systems, pytest/unittest, CI/CD pipelines, system-level testing, storage concepts (SAN/NAS/RAID), networking basics
Preferred skills
Generative AI/LLMs, log parsing, distributed systems, microservices
Technologies
Python, Perl, pytest, unittest, Jenkins, GitHub Actions, Linux/Unix
Responsibilities
Design and develop scalable automation frameworks; Build and enhance AI-driven QA solutions; Develop and execute system-level tests; Create tools for log parsing and automated validation; Integrate automation into CI/CD pipelines; Collaborate with development teams to debug defects.
Seniority
Mid-Senior (4-6 years experience)
