Systems Platform QA and AI engineer

About the role

In the HPE Hybrid Cloud, we lead the innovation agenda and technology roadmap for all of HPE. This includes managing the design, development, and product portfolio of our next-generation cloud platform, Green Lake.

What you'll do

• Drives end-to-end quality engineering for enterprise storage platforms, with focus on hardware-software interactions (hardware, firmware, BIOS, BMC/iLO
• Designs and develops scalable automation frameworks and tools , primarily using Python, to improve test coverage, system validation, debugging, and productivity
• Incorporates AI/ML-based approaches to solve complex engineering and quality problems (e.g., failure analysis, test optimization, anomaly detection
• The interactions and dependencies between these layers in large-scale enterprise environments
• Builds powerful, reusable tools and utilities that enhance engineering productivity, test effectiveness, and observability

What you need

• 3–5 yrs of experience
• Python
• Machine learning
• Linux
• Root cause analysis
• B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA or M.Sc

Good to have

• LLMs
• Prompt engineering