About the role
Senior Systems Engineer - Storage Platform & Quality Engineering This role has been designed as ‘Hybrid’ with an expectation that you will work on average 2 days per week from an HPE office.
Who We Are: 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. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE. Job Description: What You’ll Do Lead end-to-end quality engineering for enterprise storage platforms, focusing on hardware–software interactions across firmware, drivers, and system software. Design and build scalable automation frameworks and tools using Python to improve test coverage, validation, and debugging efficiency. Investigate and resolve complex customer-reported issues, performing deep system-level debugging and root cause analysis. Apply AI/ML techniques, including Generative AI, for failure analysis, anomaly detection, test optimization, and workflow automation. Develop reusable tools and utilities that enhance observability, productivity, and overall test effectiveness. Drive system-level testing strategies covering performance, reliability, scalability, and edge-case scenarios. Collaborate across engineering teams to improve product quality and accelerate issue resolution. Mentor team members and foster a culture of innovation, continuous learning, and engineering excellence. What You Need to Bring 6–10 years of experience in QA, system engineering, or storage systems, preferably in enterprise or distributed environments. Strong programming expertise in Python (or Perl), with hands-on experience building automation frameworks and tools. Solid understanding of testing principles, debugging methodologies, and automation design. Strong knowledge of Linux/Unix systems and system-level troubleshooting. Proven experience in diagnosing and resolving complex system or customer issues. Familiarity with enterprise storage technologies, including hardware, firmware, drivers, and platform software layers. Experience or exposure to AI/ML techniques such as Generative AI, LLMs, or AI-assisted testing. Strong analytical thinking with a focus on reliability, scalability, and edge-case validation. Excellent communication, collaboration, and mentoring skills. Additional Skills: Cloud Architectures, Cross Domain Knowledge, Design Thinking, Development Fundamentals, DevOps, Distributed Computing, Microservices Fluency, Full Stack Development, Security-First Mindset, Solutions Design, Testing & Automation, User Experience (UX) What We Can Offer You: Health & Wellbeing We strive to provide our team members and their loved ones with a comprehensive suite of