Remote GPU Infra Engineer - Terraform, Go, Linux

OpenRelay, Inc.; Argentina; A distancia; ARS 91.051.000 - 136.577.000; Jornada completa

Descripción de la vacante

OpenRelay, Inc. seeks a highly capable infrastructure engineer to own our GPU compute and inference platform from development to production. You will manage Terraform across AWS environments and maintain a robust control plane for bare-metal GPU hosts via Nomad.

The role requires strong Linux expertise, Go or systems programming skills, and experience with Docker, hosting workloads and monitoring stack. Fully remote within Argentina with competitive compensation awaits.

Formación

• 2+ years running production infrastructure.
• Terraform or equivalent IaC on a real cloud account.
• Advanced Linux: you can debug boot/driver/network issues.
• Go or another systems language with willingness to use Go.
• Docker and at least one orchestrator (Nomad/Kubernetes).
• End-to-end ownership: design, rollout, monitoring, incident response.
• Working English, written and spoken.

Responsabilidades

• Manage Terraform for AWS environments from plan to prod.
• Oversee provider fleet: enrollment, node identity, health reconciliation, VM lifecycle via Nomad.
• Handle GPU host configurations: VFIO passthrough, IOMMU groups, kernel flags.
• Maintain network paths: customer traffic through gateways and control plane paths.
• Operate monitoring: dashboards, runbooks, incident discipline.
• Build ops tooling for remote fleets and self-updating agents.

Conocimientos

Production infra

Advanced Linux

Go programming

English proficiency

Herramientas

Terraform

AWS

Nomad

Docker

Kubernetes

Grafana

VictoriaMetrics

GitHub Actions

Claude Code

Descripción del empleo

OpenRelay, Inc. seeks a highly capable infrastructure engineer to own our GPU compute and inference platform from development to production. You will manage Terraform across AWS environments and maintain a robust control plane for bare-metal GPU hosts via Nomad.

The role requires strong Linux expertise, Go or systems programming skills, and experience with Docker, hosting workloads and monitoring stack. Fully remote within Argentina with competitive compensation awaits.