Staff Engineer/Technical Lead, Google Distributed Cloud Storage at Google
Raleigh, NC
$207,000–$301,000from the description
Jul 23, 2026
Raleigh, NC
Jul 25, 2026
What this job asks for AI summary
A staff-level engineering role focused on designing and delivering file and block storage systems within Google Distributed Cloud's air-gapped environment. Day-to-day work spans storage architecture, performance tuning against strict I/O benchmarks, multi-tenant access control, and observability tooling, alongside cross-functional collaboration and mentoring. Suited to engineers with deep large-scale storage and distributed systems experience who are comfortable setting technical direction.
Staff level · 8+ years · Raleigh-Cary, NC · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 5 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.
Why we read it this way (8)
The role is titled 'Staff Engineer/Technical Lead' — the Staff band is supported both by the title and by the cross-team technical leadership scope described (setting technical direction, mentoring, cross-org collaboration on GDC architecture).
The posted compensation range of $207,000–$301,000/year is base salary only; the posting also states a 20% bonus target plus equity and benefits.
The degree requirement is 'Bachelor's or equivalent practical experience,' which means no formal degree is hard-gated.
The role spans multiple locations (Raleigh NC, Durham NC, Cambridge MA); Raleigh-Cary CBSA is used as the primary listed location.
SOC classification is Medium confidence: the role is primarily software engineering on storage systems (15-1252), but the deep focus on storage hardware integration, performance characterization, and infrastructure operations introduces some overlap with 15-1244.
Several required qualifications are framed as experience in broad capability areas (e.g., 'storage performance characterization using industry-standard tools') rather than naming a specific tool; no single tool is hard-gated by name in the requirements section.
NetApp ONTAP and AI/ML workload experience appear only under Preferred qualifications.
Ignored 3 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): software testing and launch, file and block storage architecture, software design and architecture.
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