Description
Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world.
As a Systems Platform QA and AI engineer, you will be part of the HPE Hybrid Cloud team leading the innovation agenda and technology roadmap for all of HPE. Your primary focus will be on driving end-to-end quality engineering for enterprise storage platforms, with a focus on hardware-software interactions.
Key Responsibilities:
- Drive end-to-end quality engineering for enterprise storage platforms, focusing on hardware-software interactions.
- Design and develop scalable automation frameworks and tools using Python to improve test coverage, system validation, debugging, and productivity.
- Apply strong troubleshooting skills to analyze interactions and dependencies between system layers in large-scale enterprise storage environments.
- Build powerful, reusable tools and utilities that enhance engineering productivity, test effectiveness, and observability.
- Drive innovation and integration, promote a culture of collaboration, continuous learning, and mentoring.
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.
- Solid understanding of testing fundamentals, debugging, and automation design.
- Good understanding of Linux/Unix operating systems.
- Demonstrated experience in customer issue resolution, system debugging, and cross-functional engineering collaboration.
Preferred Skills:
- Expertise in enterprise storage systems, including hardware, firmware, drivers, and platform software layers.
- Proficiency in Python programming with proven experience in building automation frameworks, tools, and test systems.
- Experience in applying AI/ML techniques to engineering or quality problems.
- Strong problem-solving mindset with a QA/system thinking approach, focusing on reliability, scalability, and edge conditions.
What We Offer:
- Comprehensive suite of benefits supporting physical, financial, and emotional wellbeing.
- Investment in your career with programs to help you reach your career goals.
- Unconditional inclusion with a focus on individual uniqueness and flexibility to manage work and personal needs.