Senior Platform Engineer — AI Cloud at LinkedIn
Utrecht, Utrecht, Netherlands -
Full Time


Start Date

Immediate

Expiry Date

06 Jan, 27

Salary

65000.0

Posted On

08 Oct, 26

Experience

4 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Industry

Financial Services & Insurance

Description

ou own everything above the cluster: the observability platform, the GPU metering-to-billing pipeline, the operation of the AI service catalogue, and the SLOs that define reliability. Your job is to make the GPU clusters delivered to you observable, measurable, billable, and reliable.

What you will own-

  • Observability & ReliabilityBuild and operate the full observability stack: metrics (Prometheus + long-term store such as VictoriaMetrics/Thanos), logs (Loki + a forwarder), and alerting (Alertmanager)
  • Integrate DCGM GPU telemetry into the pipeline: utilisation, memory, temperature, power, SM activity — per GPU, per tenant
  • Surface GPU and fabric health (DCGM XID errors, NCCL/RDMA, RoCE/link health) from the Infra and Network engineers into a single pane — you own dashboards, alerting, and tenant-impact SLOs; Infra/Network own the fabric remediation
  • Build the dashboarding capability (Grafana with SSO), ready for tenants at launch
  • Define SLOs, SLIs, and error budgets; implement burn-rate alerting
  • Implement OpenTelemetry instrumentation across platform services; lay the alerting and runbook foundations for reliable operation later

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities
Loading...