As a member of the Storage Performance Engineering team, you will define performance strategies, execute benchmark workloads, analyze system behavior at scale, and drive improvements across the storage software stack. This role requires deep technical expertise spanning computer architecture, operating systems, distributed systems, storage, networking, and software performance engineering.
You will work closely with architects, developers, QA engineers, and product teams to ensure our storage solutions deliver industry-leading performance, scalability, reliability, and customer experience.
What You'll Do
Design, develop, automate and execute performance validation and benchmark test plans for HPE Alletra Object and File Storage solutions.
Define performance metrics, KPIs, scalability targets, and release acceptance criteria.
Analyze performance bottlenecks across compute, memory, storage, networking, operating system, and distributed software layers.
Participate in root-cause investigations and partner with engineering teams to resolve performance issues.
Drive workload characterization, capacity planning, and performance tuning initiatives.
Develop automation, tooling, and analytics solutions using Python and JavaScript.
Influence product architecture and design through performance insights and data-driven recommendations.
What You Need to Bring
Education & Experience
Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or related discipline.
5+ years of experience in performance engineering, storage systems, distributed systems, or related areas.
Proven experience diagnosing and resolving complex system performance issues.
Technical Skills
Deep knowledge of computer architecture, including CPU, memory hierarchy, NUMA, and I/O subsystems.
Strong understanding of Linux and operating system internals, including scheduling, memory management, synchronization, and performance profiling.
Experience with distributed systems, storage architectures, and networking fundamentals.
Strong programming skills in Python and experience developing automation and performance analysis tools.
Working knowledge of JavaScript and modern development practices.
Understanding of parallel programming, concurrency, and scalability concepts.
Experience with performance benchmarking, profiling, workload modeling, and root-cause analysis.
Desired Characteristics
Strong analytical and problem-solving skills with a passion for performance engineering.
Ability to identify issues and drive root-cause analysis across the entire storage and networking stack.
Excellent communication and collaboration skills.
Growth mindset, intellectual curiosity, and a customer-first approach.
Demonstrates HPE values through ownership, innovation, inclusion, integrity, and teamwork.
Additional Skills
Storage Systems, Object Storage, File Storage, Distributed Systems, Linux Internals, Performance Engineering, Network Performance Analysis, Benchmarking, Scalability Testing, Automation, Python Development, JavaScript Development, Root Cause Analysis, Cloud Storage Architectures, Observability, Testing & Automation
Accessibility
HPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities. If you believe you require accommodation during any stage of the application or interview process, please submit your request by completing our secure form linked here.
Note: This option is reserved for applicants needing assistance/reasonable accommodation related to a disability.
What We Can Offer You
Health & Wellbeing
We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.
Personal & Professional Development
We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.
Unconditional Inclusion
We are unconditionally inclusive in the way we work and celebrate individual uniqueness. 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.
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Job
- Engineering
- Job Level:
- TCP_03
HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.
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