Go Engineer: Slurm on Kubernetes for GPU AI Infra

Gcore

Netherlands

Hybrid

EUR 90,000 - 130,000

Full time

14 days+
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Benefits offered by this job

Competitive compensation
Flexible working hours
Hybrid or remote options
Global work location flexibility
Private medical insurance

Job summary

Gcore seeks a distributed systems engineer to design and deliver a Slurm-on-Kubernetes service and GPU scheduling platform. You will write clean Go code and help scale GPU-intensive workloads across edge and cloud regions.

You’ll collaborate with partners and clients, own features end-to-end, and drive observability with Grafana and VictoriaMetrics while ensuring reliability and performance in a fast-growing AI-driven environment.

Qualifications

  • Hands-on Slurm usage in production from a user perspective.
  • Strong Go development skills for production-grade Kubernetes operators.
  • Experience keeping Slurm behavior under Kubernetes.
  • Ability to diagnose GPU, scheduler, network, and storage issues.
  • Product mindset with customer empathy and end-to-end ownership.
  • Excellent communication for distributed-system challenges.

Responsibilities

  • Design and build a managed Slurm service on Kubernetes.
  • Write clean, reliable Go code for production use.
  • Develop scheduling and orchestration for GPU-intensive workloads.
  • Build observability and automated remediation using VictoriaMetrics, Grafana, DCGM.

Skills

Slurm in production (user perspective)
Go proficiency
Kubernetes operators
CRDs & reconciliation loops
System performance diagnosis
Customer empathy & ownership

Tools

VictoriaMetrics
Grafana
DCGM

Job description

Gcore seeks a distributed systems engineer to design and deliver a Slurm-on-Kubernetes service and GPU scheduling platform. You will write clean Go code and help scale GPU-intensive workloads across edge and cloud regions.

You’ll collaborate with partners and clients, own features end-to-end, and drive observability with Grafana and VictoriaMetrics while ensuring reliability and performance in a fast-growing AI-driven environment.

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