Solution Architect

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 :

Solution Design & Architecture

Design and architect Cloudian HyperStore solutions tailored to customer requirements

Develop technical specifications and system diagrams per customer requirements

Create scalable storage architectures supporting petabyte-scale deployments

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

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

Enterprise Architecture

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