Senior Site Reliability Engineer (Remote)

Location: Fully remote, EU timezone (CET ±2h)

Start date: ASAP

Languages: Fluent English required

Industry: Cloud Computing / GPU Infrastructure

About the Opportunity

Pragmatike is hiring a Senior SRE / Infrastructure Engineer to help operate and scale a distributed infrastructure platform spanning bare-metal GPU nodes, Kubernetes, virtualization, networking, and multi-site environments.

You’ll work close to the infrastructure itself, from BMCs, hardware and MAAS provisioning through Kubernetes, networking, observability, automation, and site operations.

This is a hands-on role for someone who enjoys owning infrastructure end-to-end, building reliable systems, and automating everything that can be automated. Startup or hyper-growth experience is a strong plus: autonomy, ownership, and speed matter here.

What You’ll Do

Operate and maintain large-scale Linux infrastructure across Debian/Ubuntu-based bare-metal and virtualized environments.

Own MAAS-based bare-metal provisioning, including region/rack controllers, PXE, commissioning, cloud-init, node lifecycle, and API/CLI automation.

Operate and maintain production Kubernetes clusters, including upgrades, node pools, networking, storage, troubleshooting, and cluster lifecycle management.

Design and maintain multi-site networking across VLANs, L2/L3 routing, bonded interfaces, VPNs, firewalls, and DNS.

Automate infrastructure provisioning and operations using Ansible, Bash/Python, OpenTofu/Terraform, and Git-based workflows.

Build and maintain automated deployment workflows including PXE, cloud-init, and infrastructure-as-code pipelines.

Operate observability platforms using Prometheus, Grafana, Alertmanager, VictoriaMetrics/VictoriaLogs, and related tooling.

Define and improve SLIs, SLOs, alerting, and reliability practices across infrastructure and platform services.

Lead infrastructure incident response, troubleshooting, escalation, and post-incident improvements.

Maintain on-call processes and operational coverage across distributed environments.

Work close to the hardware layer, including IPMI/Redfish, BMCs, RAID, storage, hardware diagnostics, and GPU infrastructure.

Manage virtualization platforms including Proxmox VE and KVM/libvirt, including GPU passthrough where required.

Build and maintain internal infrastructure tooling for host discovery, configuration, IPAM, hardware health, and operational automation.

Own infrastructure lifecycle activities including site onboarding, maintenance, decommissioning, drift detection, and operational runbooks.

Work closely with engineering and cross-functional teams to improve reliability, resource utilization, and operational efficiency.

What We’re Looking For

5+ years of hands-on SRE, Infrastructure, Systems, or Platform Engineering experience.

Expert-level Linux administration, particularly Debian/Ubuntu.

Strong production experience with MAAS and bare-metal provisioning.

Expert-level, hands-on experience operating Kubernetes in production, including cluster lifecycle, networking, storage, upgrades, and troubleshooting.

Strong networking fundamentals and practical experience with VLANs, L2/L3 routing, bonding, firewalls, VPNs, and DNS.

Strong automation skills with Ansible, Bash and/or Python.

Experience with Terraform/OpenTofu and Git-based infrastructure workflows.

Production experience with Prometheus/Grafana and comparable observability platforms.

Experience with incident response, on-call operations, monitoring, alerting, and reliability practices.

Experience with Proxmox, KVM/libvirt, VMware, or comparable virtualization technologies.

Experience with bare-metal hardware, BMCs, IPMI/Redfish, storage, and hardware troubleshooting.

Strong understanding of distributed systems, container orchestration, and infrastructure reliability.

Ability to create SOPs, runbooks, and operational processes from scratch.

Comfortable working autonomously in a fast-paced, engineering-driven environment.

Nice to Have

Experience operating GPU infrastructure or GPU-heavy Kubernetes/bare-metal environments.