platform engineer for low-latency trading

Referment is working with a global options market maker whose low-latency trading platform runs on self-managed, on-premises infrastructure. The firm trades across global derivatives markets, uses open-source tooling where it fits, and values a flat, collaborative engineering culture.

• Design, build, and operate the on-premises Kubernetes platform and the underlying Linux VM fabric
• Design the hypervisor architecture, host networking topology, and storage backing
• Design and maintain distributed shared storage such as Ceph
• Build VM templating and golden-image pipelines
• Automate the VM lifecycle using infrastructure as code
• Manage capacity planning, oversubscription strategy, and headroom for failures or maintenance
• Own virtual networking within the fabric and its handoff to the Kubernetes CNI layer
• Manage the full lifecycle of on-premises Kubernetes clusters, including bootstrapping, upgrades, scaling, and decommissioning
• Manage the control plane, including etcd operations, backup and restore, performance tuning, and disaster recovery
• Configure CNI, network policy enforcement, and on-premises load balancing
• Set up ingress and internal DNS
• Own persistent storage integration via CSI drivers
• Define and enforce multi-tenancy patterns across the VM and Kubernetes layers
• Build GitOps-based delivery with ArgoCD or Flux
• Harden hosts and clusters against CIS benchmarks and manage secrets
• Build observability across the stack, from hypervisor health to cluster metrics and logs
• Plan and execute upgrades with minimal workload disruption
• Troubleshoot incidents across the full stack, from pods and Kubernetes components to the underlying VM and hypervisor
• Share an on-call rotation for platform-level incidents
• Partner with application teams on developer experience
• Coordinate with datacentre and network teams on physical host provisioning

• Production experience running self-managed, on-premises Kubernetes, including operating etcd and the control plane
• Hands-on experience designing and operating a Linux KVM/libvirt-based VM fabric, ideally from an early stage
• Strong Linux systems administration background, including networking, storage, service management, kernel tuning, and troubleshooting under pressure
• In-depth knowledge of Kubernetes networking and storage, including CNI internals, CSI drivers, and distributed storage systems such as Ceph or Longhorn
• Experience with infrastructure as code and configuration management, including Terraform, Ansible, or Packer; GitOps workflows; and CI/CD pipelines
• Familiarity with observability stacks such as Prometheus/Grafana and ELK/Loki, and using them to diagnose infrastructure issues without cloud-native tooling
• Familiarity with hardening standards, RBAC, network segmentation, and secrets management
• Strong troubleshooting skills across the hypervisor, OS, network, container runtime, and Kubernetes control plane
• Strong written and verbal communication skills for working with distributed or hybrid teams
• Будет плюсом: service meshes, bare-metal Kubernetes provisioning, experience in regulated or air-gapped/restricted-network environments, contributions to open-source infrastructure tooling, use of AI tooling to accelerate development, experience running AI infrastructure

• Full-stack platform ownership without managed services between the team and root cause
• On-call rotation for platform-level incidents