Deliver customer implementations of high-performance data infrastructure, from installation and configuration to performance tuning and troubleshooting, while providing technical guidance and knowledge transfer.
Ddn jobs
Data storage and management solutions for AI and high-performance computing.
51 open roles at Ddn
Strategic AI, NeoClouds & NVIDIA Business Development Lead
Leads APAC business development across NVIDIA, Neoclouds, and AI infrastructure partners, building relationships and creating strategic opportunities while connecting regional sales teams with the right technical resources.
Own and grow enterprise accounts in the life sciences and pharmaceutical sectors, winning complex AI and data infrastructure deals through strategic prospecting, executive engagement, and full-cycle sales leadership.
Build executive and partner relationships across NVIDIA and the EMEA AI ecosystem, identify and shape strategic AI infrastructure opportunities, and help regional sales teams accelerate pipeline and influence deal outcomes.
Own on-site operations for DDN storage and EXAScaler/Lustre environments, keeping systems available and performant while troubleshooting incidents across Linux, Kubernetes, CSI, networking, and storage.
Leads APAC real estate, workplace, and facilities operations, overseeing office portfolios, employee experience programs, vendors, and capital projects while partnering across teams to support business needs.
Lead cross-functional business operations and strategic initiatives, supporting corporate development, executive decision-making, and long-term planning through rigorous analysis and hands-on execution.
Own hands-on LustreFS development, debugging, and performance work across storage subsystems, driving complex investigations and reliability improvements for large-scale deployments.
Design and build observability capabilities for a software-defined storage control plane, developing performant Go components and optimizing telemetry pipelines across clustered systems.
Own customer support cases for Tintri storage solutions, investigating hardware, software, networking, and virtualization issues through resolution or escalation while communicating clearly and documenting each step.
Leads and transforms DDN’s EMEA Sales Engineering organization, setting technical strategy, developing talent, establishing performance metrics, and aligning cross-functional teams to improve customer outcomes and revenue execution.
The Senior People Business Partner will shape and deliver the People agenda across EMEA, advising regional leaders while building talent programs, navigating multi-country employee matters, and turning global priorities into practical.
Build and support Salesforce Sales Cloud and CPQ solutions for sales and deal desk teams, owning features from stakeholder discovery through development, deployment, and production support.
Drive enterprise sales of AI infrastructure across the Middle East, developing strategic accounts and partnerships while guiding complex opportunities for high-performance computing and data storage solutions.
Own end-to-end Salesforce Quote-to-Cash delivery, designing and building CPQ solutions, integrations, and customizations while partnering with business stakeholders and supporting production systems.
Architect and present scalable AI, ML, and HPC solutions that address customer data and performance goals, support complex sales, and deliver measurable business outcomes and successful adoption.
Configure, enhance, and support Workday Financials and connected finance applications, partnering with Finance and technical teams across solution design, implementation, testing, deployment, and ongoing support.
Build and maintain automated performance-benchmarking infrastructure for a distributed storage platform, using Python and Ansible to orchestrate workloads, analyze results, and validate performance across storage protocols.
Design and optimize NFS and distributed storage systems, diagnosing performance and reliability issues across kernel and user-space I/O, storage media, and networking for demanding workloads.
Lead hands-on development of GPU-native storage and data movement for large-scale AI inference, optimizing distributed pipelines, KV cache management, and performance across GPU, memory, and storage tiers.
Design, debug, and improve LustreFS features and reliability across storage subsystems, leading complex investigations and performance work while collaborating across engineering, QE, support, and release teams.
Lead the technical vision and hands-on development of distributed storage capabilities, including caching, global namespaces, data tiering, and mobility across object, file, block, and hybrid storage environments.
Lead the design and development of a scalable replication engine for an AI data platform, building secure, high-performance data synchronization and disaster recovery capabilities for large-scale systems.
Lead the design, development, and improvement of a high-performance, S3-compliant file system, from research and architecture through testing and deployment, while mentoring developers and resolving production issues.
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