AI Storage Solutions Expert at Bitdeer Technologies Group
San Jose, CA
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Aug 11, 2026
San Jose, CA
Sep 24, 2026
What this job asks for AI summary
This role is responsible for deploying and operating high-performance parallel and distributed storage systems across Bitdeer's US GPU cloud data centers, with a focus on AI training and inference workloads. The engineer owns storage architecture design, performance tuning, multi-tenant isolation, and storage networking, while also instrumenting telemetry to feed an AIOps fault-prediction platform. It suits an experienced HPC/enterprise storage specialist who has supported AI/ML workloads and has a strong inclination toward automation and observability.
Senior level · 5+ years · Unspecified US · Full-time
Quick apply — this platform usually takes a CV and a few fields.
“or” means any one of them counts — you don't need all of them.
Posted 3 times — it's one opening, so apply once.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $101,310 (middle half $79,725–$129,425).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Aug 15, 2026. It is a model, not a headcount.
Why we read it this way (7)
The role sits at the boundary between infrastructure operations (15-1244) and software/platform engineering (15-1252). The primary day-to-day work is deploying and operating storage systems, but there is a meaningful automation and AIOps instrumentation component ('runbook-as-code', anomaly detection, telemetry pipelines) that leans toward software development. 15-1244 was chosen because operating and tuning the storage fabric is the dominant responsibility; 15-1252 is the close runner-up.
The JD requires hands-on experience with 'at least two of: WEKA, VAST Data, Ceph, DDN/Lustre' — these are listed as a group requirement. WEKA and Ceph are emitted as the representative required skills with the others as alternatives; VAST Data and DDN/Lustre are also emitted separately as preferred to ensure full coverage.
fio, IOR, and mdtest are listed together as benchmarking tools; fio is emitted as the primary with IOR and mdtest as alternatives since the JD treats them as a set.
NFS over RDMA and NVMe-oF are listed as a pair under high-performance storage networking; both are emitted as required with each other as alternatives, reflecting the JD's 'or' framing.
Nvidia CMX and NVMe SMART appear in the narrative/responsibilities sections rather than the formal requirements block, so they are marked as preferred.
No specific US city or metro is mentioned; the posting references 'NeoCloud's US DCs' generically. No CBSA could be determined.
No compensation figures are stated in the posting.
Read the full posting
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