HP Enterprise—Systems/Software Engineer - Performance Test and Analysis

Job description

Description: Systems/Software Engineer - Performance Test and Analysis This role has been designed as ‘’Onsite’ with an expectation that you will primarily work 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: 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. Working with customers, we help them reimagine their information technology needs to deliver a simple, consumable solution that helps them drive their business results. Join us redefine what’s next for you. About the Role HPE Storage is seeking a highly skilled Performance Test and Analysis Engineer to drive performance validation, benchmarking, scalability analysis, and optimization across the HPE Alletra Storage MP X10000 Object and File Storage architecture. 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. Let's Stay Connected: Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE. #india #hybridcloud Job: EngineeringJob 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. Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities. HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories. Recruitment Fraud Alert We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications. All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual’s own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately. Skills: performance engineering, distributed systems, python, linux internals, object storage, file storage, performance benchmarking, scalability analysis, root cause analysis, performance tuning, automation, javascript, capacity planning, workload characterization, observability, cloud storage architectures, network performance analysis, parallel programming, concurrency, testing & automation, collaboration, analytical skills, problem solving