We are seeking an AI Storage Solution Architect to support the design, implementation, and optimization of Cloudian storage solutions. This role requires deep technical expertise in distributed storage systems, cloud architecture, and enterprise-scale data management. The ideal candidate will have hands on storage administration experience. The will work closely with customers, sales teams, and engineering to deliver scalable, high-performance storage and AI solutions that meet complex business requirements.
Responsibilities:
- Design and architect Cloudian HyperStore solutions tailored to customer requirements
- Develop technical specifications and system diagrams per customer requirements
- Ensure solution designs align with security, compliance, and performance requirements
- Collaborate with engineering teams to influence product roadmap based on customer needs
Customer Engagement & Technical Leadership
- Lead technical discussions with enterprise customers during pre-sales, implementation, and post-sales phases
- Conduct technical workshops, proof-of-concepts, and architecture reviews
- Provide technical guidance on data migration strategies and hybrid cloud integrations
- Serve as primary technical escalation point for complex customer issues
Implementation & Optimization
- Participate in deployment of Cloudian HyperStore clusters in on-premises
- Configure and optimize storage policies, replication strategies, and data lifecycle management
- Implement monitoring, alerting, and backup strategies for production environments
- Troubleshoot complex performance and scalability issues
Technical Consulting & Support
- Provide technical expertise during sales cycles and RFP responses
- Develop best practices documentation and deployment guides
- Stay current with emerging storage technologies and industry trends
Requirements:
Technical Expertise
- 5+ years of experience in storage architecture, preferably with object storage systems
- Hands-on experience with Cloudian HyperStore installing, configuring, testing and troubleshooting or similar distributed storage platforms (Ceph, MinIO, NetApp StorageGRID)
- Experience with AI training and inference workflows, specifically with their I/O requirements
- Experience integrating AI connectors such as PyTorch, Multi Storage Client and/or performance testing with NIXLBench and KVBench
- Deep understanding of S3 API, REST protocols, and cloud storage standards
- Experience with Linux system administration, networking, and virtualization technologies
- Proficiency in scripting languages (Python, Bash, PowerShell) for automation
- Proven track record designing and implementing enterprise-scale storage solutions
- Experience with data center architecture, including compute, storage, and networking components
- Knowledge of backup and disaster recovery strategies for large-scale environments
- Understanding of compliance requirements (GDPR, HIPAA, SOX) and data governance
- Experience with hybrid cloud architectures and multi-cloud strategies
Industry Knowledge
- Strong understanding of storage protocols (NFS, SMB, iSCSI) and file systems
- Experience with virtualization platforms (VMware, Hyper-V, OpenStack)
- Knowledge of container technologies (Docker, Kubernetes) and microservices architecture
Customer-Facing Skills
- Excellent communication and presentation skills for technical and business audiences
- Experience leading customer workshops and technical training sessions
- Ability to translate complex technical concepts into business value propositions
- Strong problem-solving skills and ability to work under pressure
- Experience managing multiple customer engagements simultaneously
Preferred Qualifications
- Bachelor's degree in Computer Science, Engineering, or related technical field
- Professional certifications in storage technologies (NetApp, Dell EMC, AWS, Azure)
- Experience with software-defined storage and hyper-converged infrastructure
- Background in storage performance tuning and capacity planning
- Previous experience in technical sales or customer success roles
- Knowledge of AI/ML workloads and edge computing
Travel Requirements
- This position requires approximately 25-40% travel to customer sites, conferences, and company events.
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This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.