Site Reliability Engineer (AI Cloud)

Location: Helsinki, Finland; hybrid, 3 days a week at the office

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

• Run and improve services supporting data-center operations, including deployment pipelines and secret provisioning.
• Contribute to SLIs and SLOs, respond to incidents, participate in blameless reviews, and implement lasting fixes.
• Diagnose failures across GPU and server hardware, Linux, networking, Kubernetes, and platform services.
• Build operational automation, including AI-assisted and agent-based tooling where useful.
• Improve deployment safety through release criteria, readiness checks, progressive rollouts, and rollback mechanisms.
• Extend observability, capacity planning, failover, redundancy design, risk tracking, runbooks, documentation, and code reviews.

Requirements

• 3+ years in SRE, infrastructure, platform, or systems engineering, or equivalent hands-on experience from internships.
• Solid Linux fundamentals and hands-on troubleshooting experience.
• Hands-on Kubernetes experience, ideally in production.
• Experience with infrastructure automation or GitOps, such as Ansible, ArgoCD, Terraform, or CI/CD, and observability tools such as Prometheus, Grafana, VictoriaMetrics, or OpenTelemetry.
• Experience writing tooling and automation in Go or Python.
• Solid networking fundamentals, including TCP/IP, DNS, and load balancing.
• Methodical debugging across Linux, networking, or distributed systems; ownership of incidents through lasting fixes; and a data-led approach.
• Good judgement about when to automate, fix manually, or escalate, plus clear communication, collaboration, and willingness to learn.

Nice to have

• GPU infrastructure experience with NVIDIA drivers, DCGM, InfiniBand, RoCE, or GPU failure modes.
• Bare-metal provisioning and hardware lifecycle experience with BMC/IPMI, Redfish, or firmware management.
• Linux performance analysis or driver and kernel-level troubleshooting.
• Experience with Rancher, kubeadm, Cilium, containerd, Harbor, or Kyverno.
• Experience building AI or agent-based operations tools, working at a cloud provider, or running a large data-center fleet.
• Previous production on-call or incident-response experience.

Culture & Benefits

• Full-time, permanent employment in a hybrid arrangement with 3 office days per week.
• Paid primary/secondary on-call rotation with experienced engineers during onboarding.
• Cash and equity compensation with local benefits.
• Work alongside engineers, researchers, and partners across the global AI ecosystem.

Hiring process

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