Ever pure — the company reshaping enterprise data storage through its Enterprise Data Cloud architecture — is seeking a Battle-Trained, High-Conviction Hunting Systems Engineer (SE) based in Dubai to serve as the technical tip of the spear across the METCA region (Middle East, Turkey, Central Asia). This is an aggressive, net-new business role combining deep AI/HPC infrastructure expertise with elite pre-sales engineering capability — targeting sovereign GPU clouds, enterprise AI factories, and Tier-1 AI infrastructure projects across the UAE and Saudi Arabia. If you have full-stack AI and HPC understanding, NVIDIA DGX familiarity, and a proven record of hunting and winning massive infrastructure deals, Ever pure is where your expertise creates extraordinary impact in 2026.
About Everpure — Powering the METCA AI & Sovereign Cloud Revolution
Product: Enterprise Data Cloud — unified architecture fuelling AI, Deep Learning, and HPC at scale
Mission: Transcend traditional storage — deliver the world’s most ambitious AI infrastructure projects
Region: METCA — global epicentre for AI infrastructure with massive Tier-1 sovereign GPU cloud investment
Partners: NVIDIA, Cisco, Dell — strategic alliances deeply integrated into GPU cluster ecosystems
Culture: Fortune Best Workplaces in Technology™ — Great Place to Work® certified globally
What Everpure Offers — Innovation, Growth & Team
Innovation: Celebrate critical thinkers, challengers, and trailblazers — work that changes the world
Growth: Space and support to grow — Fortune Best Workplaces in Technology and Bay Area recognised
Team: Build each other up — ego-free collaboration for the greater good of the mission
Wellbeing: Flexible time off, wellness resources, and company-sponsored team events
Inclusion: Equal opportunity employer — committed to diverse, equitable, and inclusive engineering teams
Position Overview
The Hunting Systems Engineer at Everpure Dubai is one of the highest-impact pre-sales engineering roles available in the METCA region in 2026. This is explicitly not a passive, relationship-management or box-pushing role. You will partner aggressively with an Enterprise Account Executive to target, break into, and land the largest AI infrastructure projects in the market — displacing legacy storage architectures and securing net-new footprints at sovereign GPU cloud providers, enterprise AI factories, and high-performance computing clusters across the UAE, Saudi Arabia, and the broader METCA territory.
This role demands the rare combination of genuine technical depth in AI and HPC infrastructure — from GPU cluster architecture and InfiniBand fabrics to distributed file systems, Slurm orchestration, and RAG inference pipelines — and the commercial instincts and storytelling ability to translate that depth into ROI-driven narratives for C-level executives making multi-petabyte infrastructure investments. If you have the technical credibility to stand in front of GPU cluster architects and the business acumen to win the boardroom, Everpure has built the role for you.
Why This Role Matters: The METCA region is experiencing the most significant wave of AI infrastructure investment in its history — with sovereign GPU cloud buildouts, AI factories, and national AI strategies across the UAE and Saudi Arabia driving demand for the most advanced storage architectures in the world. Everpure’s Enterprise Data Cloud is purpose-built for exactly this environment. As the Hunting Systems Engineer, you are the technical professional who determines whether that opportunity converts into Everpure wins — displacing legacy architectures one massive deal at a time, in a market that will define AI infrastructure leadership for the next decade.
Key Responsibilities
High-Impact Hunting & Net-New Account Development
- Partner closely with Enterprise Account Executives to actively map out and break into net-new enterprise accounts — targeting sovereign GPU cloud providers, neo-scalers, boutique GPU-as-a-Service providers, and large enterprise AI factory buildouts across the METCA region with structured, intelligence-driven hunting methodology
- Identify, qualify, and pursue the largest and most complex AI infrastructure projects in the UAE and Saudi Arabia market — specifically targeting Tier-1 sovereign cloud deployments, national AI programme infrastructure, and multi-petabyte enterprise AI data platform opportunities
- Apply proven hunting instincts to convert cold prospects into major clients — developing creative approaches to gain technical access, establish Everpure’s credibility with GPU cluster architects, and create the technical preference that drives competitive displacement of incumbent storage solutions
- Leverage deep knowledge of the METCA infrastructure landscape, major players, and sovereign cloud initiatives — including familiarity with UAE and Saudi Arabia-specific AI investment programmes, CSP ecosystem dynamics, and the regulatory context shaping sovereign cloud infrastructure decisions
AI Factory Architecture & Technical Design
- Architect high-performance, multi-tenant data pipelines and full-stack AI factory environments — moving well beyond basic storage architecture to design complete environments that optimise how data nodes interact within massive GPU fabrics at the scale of the region’s most ambitious infrastructure projects
- Design and present multi-petabyte deployment architectures and long-term scaling strategies — guiding customers from initial infrastructure investment through a clear, evidence-backed roadmap where they can seamlessly mix, match, and expand Everpure data nodes as their AI workloads grow
- Apply deep understanding of AI pipeline data flows — from raw data ingestion and tokenisation through distributed model training, localised RAG (Retrieval-Augmented Generation) deployment, and inference serving — to position Everpure’s storage architecture as the optimal data layer for each stage of the AI lifecycle
- Collaborate actively with NVIDIA, Cisco, Dell, and other strategic alliance partners — ensuring Everpure’s dense flash storage is qualified, validated, and integrated directly into incoming customer GPU chip allocations and partner-led AI infrastructure solution stacks
Technical Consensus & Proof of Value
- Lead deep-dive architectural workshops with GPU cluster architects and senior technical decision-makers — demonstrating Everpure’s technical leadership through rigorous, evidence-based engineering discussion that builds genuine architectural preference at the engineering level of the customer organisation
- Own complex, multi-rack benchmarks, system configurations, and Proof of Value (PoV) exercises — taking absolute control of the technical validation process to prove Everpure’s architectural superiority over competitor solutions in the specific performance metrics that METCA AI customers care about most
- Simultaneously translate complex engineering concepts into crisp, ROI-driven narratives for C-level executives — bridging the gap between GPU cluster architecture and business outcomes in a way that both technical and commercial decision-makers find compelling and credible
- Leverage industry-standard benchmarks and technical validation data to dismantle competitor claims and win highly competitive RFPs and RFIs — developing deep familiarity with benchmark methodologies relevant to AI storage, HPC workloads, and multi-tenant GPU cloud environments
Partner Ecosystem & Infrastructure Roadmap Leadership
- Ramp up rapidly on next-generation engineering rollouts — including high-density QLC innovations, new data node architectural frameworks, and emerging Everpure platform capabilities — and immediately position them in the field against competitive alternatives and existing legacy architectures
- Build and maintain deep relationships across the METCA partner ecosystem — working with NVIDIA system integrators, Cisco networking partners, Dell infrastructure resellers, and sovereign cloud programme participants to ensure Everpure is always positioned where the largest AI infrastructure investments are being made
What You’ll Bring — Requirements
Technical Background
- Full-stack AI/HPC understanding with direct experience working alongside GPU cluster architects — must understand adjacent compute and networking layers including NVIDIA DGX architectures, InfiniBand fabric design, high-speed Ethernet fabrics, and the physical and logical structure of large GPU cluster cabling and interconnect
- Mastery of high-performance file systems, distributed storage architectures, multi-tenancy requirements, and orchestration tools including Slurm or Kubernetes — with practical experience designing or supporting storage environments for AI training, inference, or HPC workloads at scale
- Ecosystem background from high-performance scale-out storage builders, scale-out NAS vendors, or cutting-edge AI cloud providers — with direct experience selling, architecting, or operating the type of infrastructure Everpure’s Enterprise Data Cloud is designed to serve and displace
- BS or MS in Computer Science, Computer Engineering, or equivalent deep-field experience in distributed computing or HPC environments — with the academic and practical foundation to stand credibly in front of the most technically demanding infrastructure architects in the METCA market
Commercial & Communication Skills
- A proven track record of targeting and converting cold prospects into major clients — wired to seek out massive, complex structural infrastructure deals rather than waiting for warm inbound enquiries or existing account renewals
- Advanced storytelling and business acumen — the ability to take raw, complex supercomputing and AI infrastructure concepts and frame them with clarity and simplicity for C-suite audiences who need business outcomes, not technical specifications
- Deep familiarity with the METCA infrastructure landscape, major players, and sovereign cloud initiatives — specifically UAE and Saudi Arabia, with broader awareness of regional and global Tier-1 AI infrastructure drivers
Why Pre-Sales SE Roles at Everpure in METCA Are Extraordinary in 2026
The METCA region — and the UAE and Saudi Arabia in particular — is experiencing a once-in-a-generation wave of AI infrastructure investment. Sovereign GPU cloud buildouts, national AI factory programmes, and Tier-1 CSP expansion projects are driving demand for the most advanced, high-performance storage architectures available. Everpure’s Enterprise Data Cloud, with its dense flash architecture and AI-native design, is positioned to capture a significant share of that investment — and the Hunting Systems Engineer is the technical professional who makes that happen on the ground.
For a pre-sales SE with genuine AI/HPC infrastructure depth, METCA hunting instincts, and the storytelling capability to win at the C-level, this Everpure role in Dubai represents a genuinely career-defining opportunity. The combination of the world’s most active AI investment region, a technically superior product displacing legacy architectures, a Fortune-recognised employer culture, and the financial rewards of closing the region’s largest infrastructure deals makes this one of the most compelling technical sales engineering mandates available anywhere in 2026. Come bring your bold.
Who Should Apply?
- Senior Pre-Sales Systems Engineers with AI/HPC Background: Who have designed or sold infrastructure for GPU cluster environments, HPC facilities, or large-scale AI training and inference deployments — with the technical depth to engage GPU cluster architects as a peer
- Storage or Compute Infrastructure Architects from Scale-Out Vendors: With experience at companies like Pure Storage, NetApp, WekaIO, VAST Data, DDN, or comparable HPC/AI storage providers — ready to bring that technical background to an aggressive net-new hunting role across METCA
- METCA-Based AI Infrastructure Professionals: With deep knowledge of the UAE and Saudi Arabia sovereign cloud landscape, national AI programme infrastructure requirements, and the technical ecosystem of the region’s largest Tier-1 AI infrastructure investments
- Hunting SEs with NVIDIA Ecosystem Experience: Familiar with NVIDIA DGX architectures, InfiniBand fabric design, and the AI factory reference architectures that are being deployed at scale across the Gulf’s sovereign GPU cloud buildouts — able to leverage Everpure’s NVIDIA partnership to position flash storage within GPU chip allocation cycles
- Dubai-Based or Relocating Technical Sales Engineers: With 4+ years of pre-sales engineering experience in enterprise infrastructure and the commercial instincts to convert cold prospects into multi-petabyte, multi-rack infrastructure deals in the world’s most active AI capital investment region
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