Key Responsibilities

• Design, implement, and operate Slurm and Kubernetes-based platforms across cloud and on-prem GPU nodes, including autoscaling, rollout strategies, and multi-cluster operations.
• Build CI/CD pipelines for services, model training, and model serving; standardise artifact/version management and environment promotion.
• Implement Infrastructure as Code with Terraform/Terragrunt and configuration management; enforce drift detection and repeatable environments.
• Design and implement observability stacks (metrics, logs, tracing); drive incident response and postmortems.
• Secure the stack with least privilege, secrets management, network policy, and hardened baselines; support ISO/MPA controls with the security team.
• Operate model-serving infrastructure for real-time and batch workloads; optimise GPU utilisation, concurrency, and latency.
• Drive cost visibility and efficiency across compute, storage, and egress; forecast capacity
• and plan lifecycle of hardware and licenses.

• 6+ years in DevOps/SRE/Platform roles running production systems.
• Expert with Kubernetes and containers (runtime, scheduling, networking, autoscaling).
• Strong with Terraform and at least one configuration management tool (Ansible
• preferred).
• CI/CD (GitHub Actions [preferred] / GitLab), release strategies, and artifact registries.
• Observability in production (Prometheus/Grafana preferred).
• Linux mastery, shell scripting, and a high-level language (Python preferred).
• Cloud proficiency (AWS/GCP/Azure) and Security fundamentals: IAM, secrets management, network segmentation, image provenance.
• Experience with data-/media-heavy workloads or ML pipelines in production.
• Location: EU/UK time zones (±2h).

Nice to Have

• Model serving stacks and GPU telemetry/optimization.
• On-prem operations for GPU/CPU fleets.
• HPC/VFX pipeline exposure; render farms; real-time engines.
• Storage systems (S3/MinIO, Ceph/Lustre/NFS), CDN, and caching strategies.
• Messaging/streaming (Kafka) and workflow/orchestration (Argo, Airflow).

About You

• Pragmatic and systems-thinking oriented.
• Bias to automate and simplify.
• Clear communication during incidents and reviews.
• Ownership across design, operations, and quality.