Distinguished Engineer, Storage – AI Cloud
Tasks
- Architect high performance parallel file systems object stores and block storage
- Automate infrastructure management tasks
- Coordinate architecture across training inference SRE operations networking and security
- Define production ready standards with durability and availability SLOs
- Define storage reference architecture and qualification methodology
- Design storage layer for next generation workloads and disaggregated inference
- Develop open source strategy for AI storage GitHub first security first
- Develop prototype reference implementations
- Enable GPU delivery gating with storage ancillary services verification
- Establish root cause analysis and corrective action for incidents
- Formalize APIs SDKs and protocols for storage ecosystem
- Improve efficiency observability and reduce operational toil
- Lead AI Cloud storage expansion technical plan
- Mentor engineers and raise technical bar
- Represent company in standards bodies open source communities and industry forums
- Review storage builds investigate root cause production problems
- Use AI coding and agentic tools to drive engineering productivity
Perks/Benefits
Skills/Tech-stack
APIs | Automation | Availability SLO | BeeGFS | Block Storage | C# | C++ | Cause analysis | Cross DC dataset versioning | DAOS | Dataset versioning | Disaggregated inference | Durability SLO | Exabyte scale systems | File systems | GPFS | Go | High Performance | High-Performance Computing | ISCSI | Infiniband | KV caching | Linux Kernel | Lustre | Multipath | NFS | NVMe | NVMe-oF | NVMesh | Object storage | Observability | Open Source | Open Source Strategy | Page cache | Parallel File Systems | Performance Computing | Protocols | Python | RDMA | RoCE | Root Cause Analysis | Root cause | Rust | S3 | SDKs | SRE Collaboration | Scale systems | Spectrum Scale | Storage Architecture | Storage aware scheduling | Swift | VAST | VFS | WORM | Weka
Education
Roles
Regions
Countries
States
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