Senior Cluster Orchestration Engineer

Verda is a Helsinki-headquartered full-stack AI cloud provider offering on-demand GPU compute, clusters, serverless containers, storage, APIs, and related AI infrastructure.

Series BRecently funded5 current maintainers
Helsinki, Finland
About Verda

Formerly DataCrunch, Verda operates European AI cloud infrastructure for the full AI lifecycle, from prototyping and distributed model training to scalable inference. It manages data-center infrastructure, hardware, cloud-platform services, and an in-house AI Lab.

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Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will build the scheduling layer that turns siloed GPU clusters into one shared cluster, writing schedulers, controllers and platform services on Kubernetes and SLURM. You will implement gang scheduling, topology-aware placement and preemption, support perishable compute, develop Kubernetes operators, build observability and deliver the platform through GitOps.

Requirements

  • 5+ years in platform engineering, infrastructure engineering, SRE or related field
  • Strong Go (preferred) or Python skills including production Kubernetes controllers or operators
  • Deep Kubernetes knowledge
  • Hands-on experience with batch or AI workload schedulers such as Volcano, KAI Scheduler, Kueue or Slurm Bridge
  • Experience running GPU workloads
  • Familiarity with SLURM

Responsibilities

  • Design and build the scheduling layer for training, inference and batch workloads sharing GPU capacity across Kubernetes and SLURM
  • Build support for perishable compute and reclaim it cleanly for higher-priority work
  • Implement gang scheduling, topology-aware placement and preemption with Volcano, KAI Scheduler, Kueue or Slurm Bridge
  • Develop Kubernetes operators and controllers for quotas, priorities, fair-share, queueing and cluster lifecycle
  • Solve interactions between elastic training, inference autoscaling and batch backfill
  • Build observability for scheduling and utilisation
  • Deliver the platform through GitOps with drift detection and safe rollout and recovery

Benefits

  • Cash and equity compensation
  • Local benefits
  • Remote work option elsewhere in Europe