HPE Presales Engineer – Compute, Storage, AI & Data Protection
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Key skills for this role
Role Overview
Design, position, and support enterprise infrastructure solutions across HPE compute, storage, AI, virtualization, backup, and disaster recovery technologies.
Work with sales teams, partners, customers, and HPE technical teams to translate business and application requirements into scalable, resilient, high-performance solutions.
Key Skills for This Role
Full Job Posting
Job Overview
Design, position, and support enterprise infrastructure solutions across HPE compute, storage, AI, virtualization, backup, and disaster recovery technologies.
Work with sales teams, partners, customers, and HPE technical teams to translate business and application requirements into scalable, resilient, high-performance solutions.
Duties and Responsibilities
- Design end-to-end HPE solutions covering ProLiant, Synergy, MSA, Alletra, StoreOnce, StoreEver, and AI/GPU platforms.
- Architect AI/ML, generative AI, LLM inference, GPU acceleration, VDI, HPC, and data-intensive workload solutions.
- Translate RFPs, RFQs, tenders, and customer requirements into technically compliant architectures and BOQs.
- Prepare and validate BOMs and BOQs using HPE OCA, iQuote, sizing tools, and configuration platforms.
- Architect Hyper-V, HPE VM Essentials, and KVM-based virtualization environments.
- Design backup, disaster recovery, and cyber-resilience solutions using Zerto, Commvault, StoreOnce, and tape technologies.
- Develop high availability, disaster recovery, migration, modernization, consolidation, and infrastructure refresh architectures.
- Prepare proposals, diagrams, compliance matrices, presentations, and customer documentation.
- Lead workshops, technical discussions, partner enablement sessions, solution reviews, and customer presentations.
- Resolve configuration, lifecycle, compatibility, and product availability issues with vendor technical teams.
- Support opportunities from requirement gathering through technical validation and proposal closure.
- Optimize solutions for performance, scalability, redundancy, security, supportability, and commercial competitiveness.
Qualifications and Skills
- Bachelor's degree in IT, Computer Science, Engineering, or a related discipline.
- At least five years of proven experience as a presales engineer with HPE or similar products.
- Strong experience in enterprise infrastructure presales or solution architecture.
- Proven ability to design and size complex data center and AI infrastructure solutions.
- Good understanding of GPU architecture, AI workload sizing, storage performance, and high-speed networking.
- Strong understanding of HPE products, configuration tools, and support offerings.
- Excellent presentation, documentation, and customer-facing communication skills.
- Ability to manage multiple opportunities, tenders, and technical engagements simultaneously.
- HPE ASE or Master ASE certification is highly desirable.
- AI, Zerto, Commvault, or other relevant certifications with demonstration or proof-of-concept skills are an advantage.
- Experience working with distributors, system integrators, or enterprise customers is preferred.
Remuneration
- An attractive remuneration package will be offered according to the successful candidate's qualifications and experience.
Workplace
- Source metadata identifies the workplace as onsite in Dubai, United Arab Emirates.
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