Distinguished Engineer, Storage – AI Cloud
Tasks
- Architect high performance parallel file systems and object and block storage
- Conduct storage build reviews and production incident root cause analysis
- Define storage reference architecture and SLO roadmap
- Design storage layer for next generation workloads and cross DC data management
- Develop open source strategy for AI storage ecosystem
- Develop prototype reference implementations for new storage initiatives
- Formalize APIs SDKs and protocols for partner integrations
- Improve sustained efficiency and observability for storage systems
- Lead multi-year technical plan for AI Cloud storage expansion
- Mentor and develop engineers and raise technical bar
- Represent company in standards bodies and open source communities
- Set production ready standards for durability and availability
- Use AI coding and agentic tools for engineering workflows
Perks/Benefits
Skills/Tech-stack
BeeGFS | Block Storage | Block layer | C# | C++ | DAOS | Exabyte scale systems | File System | File systems | Go | High Performance | High performance parallel file systems | IBM Spectrum | IBM Spectrum Scale | ISCSI | Infiniband | KV caching | Linux Kernel | Linux block layer | Lustre | Multipath | NFS | NVMe | NVMe-oF | Object storage | Openstack Swift | Page cache | Parallel File Systems | Python | RDMA | RoCE | Rust | S3 | SPDK | Scale systems | Spectrum Scale | Storage Architecture | Systems programming | VAST | Virtual File System | WORM Storage | Weka
Education
Roles
Regions
Countries
States
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