Systems Platform QA and AI engineer

📋 Description

• Drive end-to-end quality engineering for enterprise storage platforms, validating interactions
• Design, develop, and maintain scalable automation frameworks and engineering tools, primarily using
• Troubleshoot complex issues across system layers and dependencies within large-scale enterprise
• Apply AI and machine learning approaches to engineering and quality challenges, including failure
• Build reusable tools and utilities that improve engineering productivity, test effectiveness
• Collaborate with cross-functional engineering teams to resolve customer issues, improve system

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or an equivalent technical
• 3–5 years of professional experience, with strong exposure to enterprise storage systems or
• Strong Python programming skills, including practical experience developing automation frameworks
• Solid understanding of software testing fundamentals, debugging methodologies, automation design
• Good knowledge of Linux/Unix operating systems and the ability to troubleshoot issues within
• Demonstrated experience resolving customer issues, performing system-level debugging, and

🎁 Benefits

• Remote/teleworker work arrangement, primarily working from home.
• Comprehensive benefits designed to support physical, financial, and emotional health and well-being.
• Access to personal and professional development programs supporting career growth and opportunities
• An inclusive workplace that values individual backgrounds, perspectives, and contributions.
• Opportunities to work on innovative enterprise cloud and storage technologies with complex
• A collaborative environment that encourages continuous learning, mentoring, knowledge sharing, and