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Senior Platform Engineer / SRE - GPU Cloud Infrastructure

Netherlands
Visa Sponsorship
This Job is No Longer Active This position is no longer accepting applications
AI Summary

You will own the observability platform, GPU metering-to-billing pipeline, and AI service catalogue for a sovereign EU GPU cloud. You are responsible for making GPU clusters observable, measurable, billable, and reliable. Requires 5+ years in platform engineering/SRE with deep Kubernetes and observability expertise.

Key Highlights
Build and operate the full observability stack: Prometheus, VictoriaMetrics/Thanos, Loki, Alertmanager, Grafana.
Design and implement GPU metering pipeline from DCGM telemetry to usage-based billing engine.
Deploy and operate AI/ML platform services: KServe, NIM, vLLM, JupyterHub, MLflow, Ray, Qdrant.

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Key Responsibilities
Build 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.
Build the GPU metering pipeline: DCGM + scheduler/namespace state → accurate per-tenant usage events (GPU-hours per tenant) with idempotency and reconciliation → a usage-based billing engine, billing primarily on allocated/reserved GPU-time.
Deploy cost-attribution (OpenCost or equivalent) for per-tenant GPU and infrastructure showback/chargeback.
Integrate a billing engine (Lago, Stripe Billing, or Metronome): flat fee + storage/egress overages, SEPA B2B direct debit.
Deploy and operate the AI service catalogue — model-serving runtimes (KServe / NVIDIA NIM Operator, Triton, vLLM), notebooks (JupyterHub), experiment tracking (MLflow), a vector DB (Qdrant), and a distributed-job framework (Ray/KubeRay) — as repeatable, GitOps-driven templates. Operation, not model authoring.
Operate the air-gapped registry and controlled artifact seeding into the sovereign zone (with Network on the path policy).
Expose platform APIs (gateway, rate limiting, integration glue) for the future customer portal.
Build the tenant onboarding/offboarding automation — the path from a new tenant to running GPU workloads, end to end.
Technical Skills Required
Go Python Kubernetes Prometheus VictoriaMetrics Thanos Grafana Alertmanager Loki OpenTelemetry DCGM Exporter NCCL RDMA RoCE KServe NVIDIA NIM Operator Triton vLLM JupyterHub MLflow Ray KubeRay Harbor ArgoCD Flux Helm Kustomize GitOps Linux systemd REST APIs gRPC OpenCost Lago Stripe Billing Metronome Qdrant

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Benefits & Perks
Competitive salary
Pension scheme
Visa sponsorship
Company gym
Modern office in Hoofddorp
Informal and open working culture
Participation in relevant conferences and exhibitions across Europe
Opportunity to develop skills in a fast-growing technology environment

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Nice to Have
Prior hands-on with a commercial / OSS usage-based billing engine (Lago, OpenMeter, Metronome, Stripe Billing, Amberflo) and event-driven metering; EU payment integration (SEPA, Mollie, or Stripe EU) a plus.
NVIDIA AI Enterprise / NIM Operator; Run:ai or KAI Scheduler for GPU quota, fair-share, and multi-tenancy.
OpenCost / FinOps: GPU cost allocation, chargeback / showback.
Container registry operations in air-gapped environments (Harbor, Quay, or similar).
Identity & access integration (OIDC/SAML, SSO, tenant-scoped RBAC) and API gateways (Kong, Envoy, Traefik).
EU regulatory awareness: GDPR, AI Act, DORA, NIS2, NEN 7510 in a platform context.
TypeScript (billing/admin tooling; interfacing with the future Fullstack portal).
Event streaming for telemetry / metering.
Experience operating a Kubernetes-native multi-cluster management platform.
Experience at an AI neocloud, GPU cloud provider, or managed ML platform.
Familiarity with NCCL / RDMA fabric troubleshooting.

Job Description

What we do-

Circle B builds sustainable IT infrastructure for the AI and cloud era. For over a decade— we have designed and deployed datacenter, edge, and AI/HPC systems on Open Compute Project (OCP) hardware. We are independent, vendor-neutral, and ISO 9001 / 14001 / 27001 certified, with deployments across multiple countries.

Our newest initiative is a sovereign EU GPU cloud — operating under full Dutch/EU jurisdiction and beyond the reach of the US CLOUD Act, for regulated European organizations that cannot compromise on where their data lives.

The Role-

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Job Overview
Posted Oct 05, 2026
Employment Full-time
Experience Associate
Location Netherlands
Category Devops
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