SRE L1 Support/Cloud Platform Ops Engineer at Bitdeer Technologies Group
San Jose, CA
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Aug 11, 2026
San Jose, CA
Sep 25, 2026
What this job asks for AI summary
A front-line L1 operations role covering GPU data center monitoring and incident response during a 12-hour daytime shift (8AM–8PM PST) at NeoCloud's US facilities. The person executes runbooks, performs physical hardware triage and replacement, manages incident tickets, and documents novel incidents to feed an AIOps automation platform. Suited to candidates with a NOC or data center operations background who are comfortable with both hands-on hardware work and structured incident documentation.
Junior level · 2+ years
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
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 (5)
The role is explicitly labeled 'L1' and requires only 2+ years of experience with basic Linux and familiarity with monitoring tools — scope and requirements support a Junior band despite the AIOps framing.
No specific US metro is stated; the posting says the role covers 'US GPU DCs' and mentions on-site physical tasks, so it is US-based and on-site, but the exact location is not disclosed.
Prometheus is listed as the first example in a set of equivalent monitoring tools ('Prometheus, Grafana, Nagios, or equivalent'); all three are captured, with Prometheus as the primary and the others as alternatives or separate preferred skills given their independent utility.
DCGM (NVIDIA Data Center GPU Manager) appears in the responsibilities section as a diagnostic tool rather than in a formal requirements block, so it is marked as preferred.
Grafana and Jira are listed separately as preferred because, while they appear alongside Prometheus and ServiceNow respectively as 'or equivalent' options, they are distinct, widely-used tools in their own right.
Read the full posting
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