Distinguished Engineer, Storage – AI Cloud
US, CA, Santa Clara, United States
USD 320K-488K Senior-level Full Time
Tasks
- Align cloud and neocloud provider storage architectures
- Apply AI tools for engineering productivity
- Automate infrastructure management tasks
- Coordinate with SRE operations networking and security teams
- Define production ready standards and observability requirements
- Design high performance parallel file systems at exabyte scale
- Develop GitHub first security first open source strategy
- Develop object store and block storage architectures
- Develop prototype reference implementations
- Formalize storage APIs SDKs and protocols
- Lead AI Cloud storage technical strategy
- Mentor and develop senior engineers
- Perform hands on root cause analysis for production incidents
- Represent company in industry standards bodies and forums
- Review storage builds and production readiness
- Set durability and availability SLOs measured in 9s
Perks/Benefits
Skills/Tech-stack
APIs | Availability SLO | BeeGFS | Block Storage | C# | C++ | CSI | Cause analysis | Ceph | DAOS | Durability SLO | Exabyte Scale Storage | File systems | GPFS | GitHub | Go | High Performance | High-Performance Computing | IBM Spectrum | IBM Spectrum Scale | ISCSI | Infiniband | Linux Kernel | Lustre | Minio | Multipath | NFS | NVMe | NVMe-oF | Object storage | Observability | Open Source | Openstack Swift | Page cache | Parallel File Systems | Performance Computing | Protocols | Python | RDMA | RoCE | RocksDB | Root Cause Analysis | Root cause | Rust | S3 | SDKs | SPDK | Spectrum Scale | Storage Architecture | VFS | Weka
Education
Regions
Countries
States
Cities
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