Senior Solutions Engineer
Core
Design, validate, and deliver scalable storage and data infrastructure solutions for enterprise customers to support AI training, inference, and real-time analysis.
Role type
Senior Solutions Data Engineer (Infrastructure)
Builds
Scalable storage solutions, reference architectures, Proofs of Concept (POCs), and automated deployment environments.
Domain
Enterprise Data Infrastructure, Cloud Storage, Kubernetes, AI/ML Infrastructure
Deliverable
production ML models
Required skills
Enterprise storage technologies, Kubernetes/OpenShift, Public cloud platforms (AWS/Azure/GCP), Linux/Windows, Networking protocols (NFS/SMB/S3), Troubleshooting complex infrastructure, Performance benchmarking, Automation scripting
Preferred skills
AI/ML infrastructure, High-performance computing (HPC), Hybrid-cloud architectures, RDMA/NVMe, Infrastructure-as-Code (Terraform/Ansible), Python/Bash/PowerShell
Technologies
VAST Data, Kubernetes, OpenShift, AWS, Azure, GCP, NFS, SMB, S3, VMware vSphere, Hyper-V, Terraform, Ansible, Python, Bash, PowerShell
Responsibilities
Design scalable solutions based on customer needs and VAST technologies; Build and present technical demos, POCs, and reference architectures; Deploy, configure, and troubleshoot VAST storage across cloud, hybrid, and virtualized environments; Execute performance benchmarking and optimize storage performance; Partner with Sales and Engineering to resolve technical escalations; Develop automation tools and documentation.
Seniority
Senior, hands-on IC