Senior Cluster Orchestration Engineer (AI Infrastructure)

Location: Hybrid in London, UK or Helsinki, Finland; remote work is available elsewhere in Europe.

Company

hirify.global is building a full-stack AI cloud spanning data centers, hardware, and a cloud platform for AI teams.

What you will do

• Design and build scheduling infrastructure that shares GPU capacity across Kubernetes and SLURM for training, inference, and batch workloads.
• Support perishable compute with short-lived and preemptible workloads, clean reclamation, and automated capacity movement.
• Implement gang scheduling, topology-aware placement, preemption, quotas, priorities, fair-share, and queueing using existing schedulers or custom components.
• Develop Kubernetes operators and controllers for cluster creation, scaling, upgrades, health checks, and decommissioning.
• Resolve interactions between elastic training, checkpointing, inference autoscaling, and batch backfill competing for GPUs.
• Build scheduling observability and deliver the platform through GitOps with drift detection and safe rollout and recovery.

Requirements

• 5+ years of experience in platform engineering, infrastructure engineering, SRE, or a related field, or equivalent expertise, including taking projects from design through deployment and maintenance.
• Strong production software development skills in Go or Python, including Kubernetes controllers or operators.
• Knowledge of API design, concurrency, idempotency, retries, and error recovery.
• Deep Kubernetes expertise covering the scheduler, scheduling framework and extension points, control plane, networking, storage, and node lifecycle.
• Hands-on experience with batch or AI workload schedulers such as Volcano, KAI Scheduler, Kueue, or Slurm Bridge.
• Understanding of gang scheduling, queueing, quotas, preemption, and fair-share.
• Experience running GPU workloads, including device plugins, GPU-aware scheduling, multi-node training, and latency-sensitive inference.
• Familiarity with SLURM and the differences between HPC-style and cloud-native scheduling models.

Culture & Benefits

• Full-time, permanent employment.
• Hybrid work from the London or Helsinki offices, with remote work available elsewhere in Europe.
• Cash and equity compensation with local benefits.
• Work with engineers, researchers, and partners across a global AI ecosystem in a team of over 40 nationalities.
• Direct architectural influence and a short path from idea to production on state-of-the-art GPU hardware at real scale.

Hiring process

• Apply through hirify.global's Careers page; applications sent by email are not accepted.
• There is no artificial application deadline, and hiring proceeds once a suitable candidate is found.