ed systems: databases, storage engines, query engines, streaming pipelines, or other data-intensive services (Go, Rust, Java, or C++ environments), and hands-on familiarity with Kubernetes. This role stays close to the technical

Location & work details

Office location and remote eligibility are separate. A country flag describes the stated location, not who may apply.

Original location: San Francisco, CA - US
Country: San Francisco, CA - US (ATS location fields)
Work mode: OnSite (ATS workplaceType/location)
Stack: - Technical depth. 5+ years of hands-on engineering experience, ideally in backend or distributed systems: databases, storage engines, query engines, streaming pipelines, or other data-intensive services (Go, Rust, Java, or C++ environments), and hands-on familiarity with Kubernetes. This role stays close to the technical work. (Source language/tool mention)
Stack: - Technical depth. 5+ years of hands-on engineering experience, ideally in backend or distributed systems: databases, storage engines, query engines, streaming pipelines, or other data-intensive services (Go, Rust, Java, or C++ environments), and hands-on familiarity with Kubernetes. This role stays close to the technical work. (Source language/tool mention)
Stack: - Technical depth. 5+ years of hands-on engineering experience, ideally in backend or distributed systems: databases, storage engines, query engines, streaming pipelines, or other data-intensive services (Go, Rust, Java, or C++ environments), and hands-on familiarity with Kubernetes. This role stays close to the technical work. (Source language/tool mention)
Stack: - Technical depth. 5+ years of hands-on engineering experience, ideally in backend or distributed systems: databases, storage engines, query engines, streaming pipelines, or other data-intensive services (Go, Rust, Java, or C++ environments), and hands-on familiarity with Kubernetes. This role stays close to the technical work. (Source language/tool mention)
Stack: me series databases or columnar storage at scale: Prometheus, Thanos, Mimir, VictoriaMetrics, InfluxDB, ClickH (GTM description)
Stack: other data-intensive services (Go, Rust, Java, or C++ environments), and hands-on familiarity with Kube (GTM description)
Stack: -on engineering experience, ideally in backend or distributed systems: databases, storage engines, query engines, strea (GTM description)
Stack: query cost control: planning, pushdown, caching, concurrency limits, and protecting a cluster from expensive q (GTM description)
Normalization: Explicit source location text; no city-only country inference.

Employer posting

Engineering Manager, Cloud Monitoring Services Platform

Source details

Company identifier: crusoe
Source ID: ashby:crusoe:6b2457c5-26ad-4934-9974-52e60d0ea020
Board: ashby:crusoe
Evidence field: description
Match rule: weak_knowledge
Go matches in source: 1
Department as supplied: Cloud Engineering

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